Feature · Document Automation

Document automation without reinventing DocuSign.

Quotes and proposals from the Products module, Flows as the trigger engine, and native integrations with DocuSign and PandaDoc for everything else. The CRM owns the data and the trigger. The signature partner owns the long tail of templates. Nobody rebuilds the specialist.

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What document automation is for a revenue team

The category, honestly explained.

Document automation is the discipline of taking every customer-facing document a revenue team produces and generating it from a template that references a record instead of a human copy-paste cycle. Proposals, quotes, order forms, invoices, SOWs, QBR packets, onboarding plans, renewal paperwork, legal addenda. The work that currently happens inside Google Docs or Word with a rep manually swapping names, amounts, and tier-specific clauses in the last document they sent. If the inputs live on a record and the output has to be consistent, the document belongs in a template. A rep who sends five proposals a week spends almost a full day a month on the mechanical work of document assembly, and the error rate on that work is high enough that Legal and Finance routinely find mispriced quotes, mismatched terms, and wrong-tier clauses in paperwork reps thought was ready to send. The category exists for a reason, and Strkr addresses it with a split: quotes and proposals come from the Products module, generation is triggered from Flows, and the long tail of general-purpose templated documents is handed to the specialist tools, DocuSign and PandaDoc, where the work actually belongs.

Quotes and proposals

Native, from the Products module.

The Products module in Strkr is where price books, SKUs, bundles, discount rules, and quote line items live. A deal references the module, assembles a quote from the catalog, and renders a proposal or order form. This is the native path. No DocuSign license required to get a quote onto a deal. Pricing math stays inside the CRM.

Trigger automation

Flows fires the envelope.

When a deal reaches Negotiation, when a quote is approved, when a renewal flag fires 60 days out, a Flow calls the connected DocuSign or PandaDoc integration and hands off the record data. The Flow is the automation layer. The specialist tool is the generation and signature layer. One system owns the trigger; another owns the template and envelope lifecycle.

E-signature

DocuSign and PandaDoc, connected.

For legally binding signatures, Strkr integrates with DocuSign and PandaDoc as first-class partners rather than rebuilding a signature engine. The CRM holds the trigger, the signer identity, and the signed artifact once it comes back. The partner handles the signer flow, the audit certificate, the geographic compliance surface, and the templated document library.

Invoices

Routed through billing partners.

Subscription invoices generate from the billing partner on the schedule the subscription record defines. Line items, prorations, tax, remit-to. The accounting team stops hand-keying invoices every billing cycle. Strkr holds the subscription record and fires the trigger; Stripe or the invoicing partner owns the invoice artifact and the collection flow downstream.

SOWs

Statements of work, through the integration.

Services deals produce a SOW with scope, deliverables, milestones, acceptance criteria. The data lives on the deal and the project record. A Flow pushes the record payload into a PandaDoc or DocuSign template that renders the SOW and routes it for signature. The signed artifact lands back on the Strkr record, and the delivery team sees exactly what was sold.

QBR packets

Assembled where the data already lives.

Quarterly packets pull usage metrics, support tickets, outstanding opportunities, roadmap items, and renewal timeline from the Strkr record graph. The CSM reviews a data-complete starting point assembled by a Flow and sent through the preferred document surface. Nobody spends four hours copying charts from a dashboard into a slide deck the night before the meeting.

How Strkr actually handles documents

A split stack, explained plainly.

Here is the stack as it ships today, with no hand-waving. Three pieces inside the CRM do the native work: Docs (a Confluence-style internal wiki for knowledge, SOPs, runbooks, and internal reference, not a template library for customer-facing paperwork), the Products module (the home for quotes, proposals, and order forms with pricing math and discount rules), and Flows (the trigger engine that watches record changes and fires actions, including handoffs to DocuSign and PandaDoc). Three pieces outside the CRM do the heavy document rendering and signature work: DocuSign for signatures and CLM-adjacent flows, PandaDoc for proposal-and-contract templates, and the long-tail specialists like Conga and Nintex for enterprise shops that already own that stack. The honest architecture is that Strkr owns the record, the trigger, the quote math, and the signed-artifact storage. The partner owns the template library, the rendering engine for arbitrary documents, and the signer flow. Teams that try to rebuild everything inside the CRM eventually hit the ceiling of the embedded tool and migrate the long tail back to the specialist. Starting there avoids the migration.

Strkr Docs

Internal wiki, not a doc generator.

Strkr Docs is where the team writes runbooks, SOPs, onboarding guides, playbooks, and internal reference material. Pages, spaces, inline comments, version history, searchable from the global command bar. It is a Confluence-shaped surface for the knowledge the team needs to run the business. It is not a template library for customer-facing documents, and the page intentionally does not pretend otherwise.

Products module

The native quoting engine.

Price books, SKUs, product bundles, discount tiers, approval thresholds, and quote line items all live in the Products module. A deal pulls from the catalog, assembles a quote, computes totals with the pricing rules, and renders a proposal or order form. This is the native, no-integration-required path for the documents a revenue team sends most often.

Flows

The automation that triggers everything.

Flows watch stage changes, field edits, time elapsed, approval decisions, and webhook signals. On any of those, a Flow can call the DocuSign or PandaDoc integration with the record data, kick off a quote from the Products module, or route an approval. The trigger is the native work. The envelope generation is the partner work.

DocuSign integration

For e-signature and envelope workflows.

The DocuSign integration connects to a tenant DocuSign account and lets Flows send envelopes with record data merged into DocuSign templates. Signed documents stream back onto the deal or account record, timestamped, with the audit certificate attached. Signer identity verification, geographic compliance, and template library are DocuSign features used in place.

PandaDoc integration

For proposals-plus-signature workflows.

The PandaDoc integration gives teams that already use PandaDoc for proposals a clean handoff: a Flow fires a PandaDoc document from a Strkr record, PandaDoc renders the proposal, the buyer signs, and the signed PDF lands on the Strkr account alongside viewer analytics. PandaDoc owns the template editor. Strkr owns the record and the trigger.

Long-tail specialists

Conga, Nintex, Formstack stay in their lane.

For enterprise shops already running Conga Composer or Nintex Drawloop on a six-figure contract, Strkr integrates via webhook rather than asking them to rip and replace. The specialist generates the complex document from its own template library; Strkr fires the trigger from a Flow and ingests the finished artifact. The long tail belongs with the specialist.

Why this split works

The architecture question most buyers skip.

Should document automation live inside the CRM, in a specialist tool, or split between the two? The honest answer depends on the document and the volume. For CRM-native quotes and proposals that merge from the pipeline, native wins and the Products module is the right home. For the long tail of templated documents (regulated-industry addenda, HR paperwork, complex multi-party agreements, bulk mail-merge batches), the specialist tool is a better home than a reinvented in-CRM engine. The split architecture Strkr runs on this page is the one that holds up at scale, because it does not ask the CRM to compete with DocuSign and PandaDoc on template editing while still giving the revenue team one record, one trigger surface, and one place where the signed artifact lands.

Record of truth

The deal stays inside the CRM.

The deal, the account, the contact, the quote lines, the approval history, and the signed document all live inside Strkr regardless of which partner rendered the envelope. The CRM is the single record of truth that reports pull from and that renewals route against. The partner is a specialist executing a step, not an alternate system of record competing with the CRM.

Specialist depth

DocuSign is better at DocuSign.

DocuSign spent twenty years building the signer flow, the audit certificate, the geographic compliance matrix, and the enterprise template library. Rebuilding that inside a CRM is a losing proposition for every team outside the top of the market. Using the specialist for the specialist step preserves depth without asking Strkr to pretend to compete.

Trigger ownership

Flows is the native glue.

The automation that decides when to fire the envelope, who gets routed, which template is selected, and which approvals must clear first is a Strkr concern, not a DocuSign concern. Flows owns the trigger. The partner receives a clean webhook with the right data at the right moment, and the rep never touches a tab outside Strkr to kick things off.

Native quoting

The Products module handles quotes natively.

The 80 percent of day-to-day revenue documents are quotes, proposals, and order forms that merge from the pipeline. These stay native inside the Products module with pricing math, discount rules, and approval thresholds. No DocuSign license is required to get a quote on a deal. The native path is the common path, and the integration path is the long tail.

Signed artifact

Everything lands back on the record.

When DocuSign or PandaDoc finishes a signature flow, the signed PDF, the audit certificate, the signer identity, and the timestamp stream back onto the Strkr record. The customer sees one artifact; the ops team queries one database. The partner integration is invisible once the signature lands, which is the behavior a mature document stack should have.

Honest total cost

Buyers get a clean comparison.

The published pricing is honest about the split. Strkr costs what Strkr costs. DocuSign and PandaDoc cost what they cost. Teams compare the real stack against Conga-on-Salesforce or an all-in-one proposal tool and make the call. No hidden "included until you need the feature" meter, no inflated native claim that collapses in a demo.

Three production flows

How teams actually run the split stack.

These three flows are the shape of what customers run every day: a Deal Desk pattern that drops a Products-module quote on the deal at the right stage and fires a DocuSign envelope on close, a Customer Success pattern that assembles the QBR packet from Strkr record data and routes it through the preferred surface, and a Revenue Operations pattern that pre-generates the renewal set so no account slips the renewal window. All three are built as Flows that invoke integration actions, which means the automation and the handoff are the same system of record and nothing is stitched together with a brittle webhook built on a Monday afternoon.

Deal desk

Negotiation stage sends a DocuSign envelope.

When a deal moves to Negotiation, Strkr assembles the quote from the Products module with the deal line items, pricing, and discount rules. Approval routes through a Flow if the discount exceeds the policy threshold. On Closed Won, a Flow fires a DocuSign envelope using the approved quote data. The rep never leaves Strkr to send; the buyer signs inside DocuSign; the signed PDF lands on the account.

Customer success

QBR data pushed into PandaDoc.

Two business days before every QBR meeting, a Flow assembles usage charts, support ticket summary, open opportunities, and renewal timeline from the Strkr record graph. The payload is pushed to a PandaDoc QBR template with the merge fields pre-mapped. The CSM reviews the generated packet, personalizes the narrative, and sends. Executive customers see current data, not screenshots someone forgot to refresh.

Revenue operations

Renewal 60 days out triggers the full paperwork set.

60 days before renewal, a Flow fires a renewal one-pager through the connected document surface, generates the proposed order form from the Products module with next-year pricing, and attaches the updated SOW. The AE reviews and sends. One Flow, three documents, no admin spends Friday copy-pasting last year paperwork into a new year doc with the account name swapped and the dates incremented.

Comparison

The honest grid against the alternatives.

The buyer question is not which tool wins on every row. The buyer question is which stack holds up for the documents the team actually sends. For a mid-market revenue team sending quotes, proposals, order forms, QBR packets, and renewal paperwork, the split Strkr runs with DocuSign or PandaDoc is cheaper than Conga-on-Salesforce, cleaner than three disconnected point tools, and better data-connected than a proposal-only platform. For a 2,000-seat enterprise with a dedicated contract operations team and a Conga admin on payroll, the enterprise stack still wins and Strkr integrates with it rather than trying to replace it.

vs Conga Composer

Conga wins enterprise, Strkr wins everyone else.

Conga Composer lists in the $35 per user per month range on top of Salesforce licensing and typically requires a certified admin for anything non-trivial. For a 2,000-seat shop with a dedicated ops team, that is the right choice. For a 50-rep team sending quotes and renewals, the Strkr split (Products module plus DocuSign or PandaDoc) delivers the same working outcome at a fraction of the all-in cost without a certified-admin dependency.

vs Nintex Drawloop

Enterprise feature set, enterprise price.

Nintex Drawloop runs similar economics to Conga and lives inside Salesforce. Powerful for a shop that generates thousands of complex regulated-industry documents a month with per-document conditional logic. Overbuilt for a team whose document volume is 500 quotes and 50 renewal packets a quarter. For that team, the Strkr split handles the common cases and leaves the long tail to a connected PandaDoc.

vs PandaDoc standalone

PandaDoc as a connected partner, not a replacement.

PandaDoc is the right proposal and contract template surface for teams that already run it, and the Strkr PandaDoc integration treats it as a first-class partner. The gap PandaDoc leaves is CRM data depth; the proposal lives inside PandaDoc, not on the account record. The integration fixes that: the proposal fires from Strkr, lands as a Strkr record, and surfaces alongside every other record.

vs DocuSign CLM

CLM for the top of the market, integration for the rest.

DocuSign CLM is excellent for enterprise contract operations with 500-plus active contracts and a dedicated contract ops team. For teams below that line, DocuSign core plus the Strkr integration covers the signature flow without the CLM subscription on top. The CLM add-on is for shops that already know they need it, not a default upsell.

vs Formstack Documents

A per-document meter that gets expensive.

Formstack Documents charges per generated document above a modest monthly cap, with per-document costs rising at volume. The tool is capable, but the economics punish success. The Strkr split uses the CRM for the common native path and reserves the specialist for the long tail, which avoids feeding a per-document meter for routine quoting work.

vs rolling your own

The in-house script that nobody owns at month twelve.

A six-week engineering project to render DOCX from a template with python-docx or a mail-merge library solves January. By June the original author has rotated, the template is undocumented, the clause library is a copy-of-copy-of in a shared drive, and nobody wants to touch the renderer. The Strkr split uses specialists that will be here in five years. The in-house script will not be.

vs HubSpot documents

A limited quote tool that stops at the ceiling.

HubSpot includes a quotes feature on paid tiers that works for simple proposals from the deal record. The ceiling appears quickly for anyone with multi-year ramp pricing, partner margin rules, conditional legal clauses, or custom-object line items. The Strkr Products module handles pricing math and discount approvals natively; for everything beyond quoting the DocuSign and PandaDoc integrations pick up where the embedded feature cannot.

vs Salesforce CPQ

Powerful, pricey, long implementation.

Salesforce CPQ is the deepest configure-price-quote stack on the market and runs well into five figures per year for a mid-size team between CPQ licenses, DocuSign licenses, and the certified admin who maintains both. Implementations commonly run three to six months. Strkr delivers a working quoting and signature stack in days with the Products module plus a connected DocuSign tenant, and lets the enterprise shops that genuinely need CPQ keep running it.

vs Qwilr

A beautiful proposal surface, isolated from the deal.

Qwilr builds attractive interactive proposals and viewer analytics, but the proposal lives in Qwilr and syncs back to the CRM through a one-way integration that routinely drifts. Teams end up copy-pasting totals back into the deal before the forecast call. The Strkr split keeps the proposal data on the deal from the start, with the signature partner handling the signer flow and nothing to reconcile after.

What the integrations actually do

The specifics of the DocuSign and PandaDoc surface.

Buyers who have been through a bad integration before want specifics, not marketing. Here is what the DocuSign and PandaDoc integrations actually ship with on Strkr. OAuth connection per tenant, no credential-sharing. Record-to-template merge mapping configured once per template, visible in the admin surface, versioned when it changes. Flows actions that fire envelopes with a chosen template and record payload. Webhook ingestion that catches sent, viewed, signed, declined, and voided events. Signed-artifact storage back on the Strkr record with the audit certificate attached. Status surfaced on the deal and account activity feed. Not a half-wired toy. The integration surface is a real production path for the teams that run it.

OAuth per tenant

Connect once, no credential sharing.

Each tenant connects DocuSign or PandaDoc through OAuth, which means the admin signs in once, the connection is scoped to the tenant, and no shared service account floats around with signing authority. Rotation is a one-click reconnect. Revocation is immediate. The connection is auditable and visible on the admin surface rather than hidden in a config file.

Template mapping

Merge fields configured once per template.

Admins map Strkr fields to DocuSign template tabs or PandaDoc merge tags in a visual surface. The mapping is versioned, so a template update does not silently break downstream Flows. A rep never guesses which field goes where; the admin set it, Legal reviewed it, and the Flow fires with the mapping already correct.

Flow actions

Fire an envelope from any Flow.

The Flow builder exposes an action for each integration. Pick the connection, pick the template, pick the record. The Flow passes the record payload at runtime. Combine the action with any trigger (stage change, approval decision, time elapsed, custom webhook) and the envelope fires on schedule, on signal, on event, without a human in the loop.

Webhook ingestion

Sent, viewed, signed, declined, voided.

DocuSign and PandaDoc both post event webhooks when an envelope changes state. Strkr catches those webhooks, writes a timeline entry on the deal and account, updates a status field, and fires any downstream Flow listening for the status. Nobody logs into DocuSign to check whether the buyer opened the envelope.

Signed artifact storage

The PDF lands back on the record.

When an envelope completes, the signed PDF, the audit certificate, the signer identity, and the signature timestamp all stream back onto the Strkr record and attach to the deal or account. The customer sees one artifact; the ops team queries one database. The partner integration is invisible once the signature lands, which is the behavior a mature stack should have.

Status on the activity feed

Every envelope event is a first-class entry.

The deal activity feed shows "DocuSign envelope sent to buyer@acme.com," "DocuSign envelope viewed," "DocuSign envelope signed by Jane Doe," each as a first-class entry with timestamp and actor. Managers reviewing the pipeline see envelope status without opening a second tool. Reporting rolls up envelope latency as a pipeline metric.

Retry and dead-letter

Failures do not disappear quietly.

When a webhook misfires or an envelope action throws on the partner side, the Flow run moves to the dead-letter queue with the record context, the template picked, and the raw error from the partner. An admin can replay the run after fixing the upstream issue. Nothing silently drops. Nothing silently sends twice. The failure surface is visible rather than buried in a vendor dashboard.

Audit and reporting

One query for every envelope ever sent.

Because every envelope event lands on the Strkr record, the audit and compliance team queries one database for the full history: who sent it, who signed it, when, from which template, under which approval. The partner retains its own audit certificate for the signer flow. Strkr retains the business-level audit of the trigger, the approval, and the artifact itself. Both stay in sync automatically.

The honest document stack: Strkr plus DocuSign or PandaDoc.

Start with the Products module for quotes and proposals. Connect DocuSign or PandaDoc for signature and templated documents. Fire everything from Flows. One record, one trigger surface, one place the signed artifact lives. No reinvented engine competing with the specialist, no per-document meter on routine quoting work, no "included until you need it" asterisks on the pricing page.

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Common questions

What buyers ask about this feature.

Does the CRM render templated documents the way DocuSign and PandaDoc do?

For quotes, proposals, and order forms, yes, through the Products module. Price books, SKUs, bundles, discount rules, and quote line items live in Products, and a deal assembles a quote from the catalog that renders as a proposal or order form. For every document type beyond quoting (regulated-industry addenda, HR paperwork, complex multi-party agreements, bulk mail-merge batches, templated contracts with heavy conditional logic), Strkr integrates with DocuSign and PandaDoc as first-class partners rather than rebuilding what they already do well. The split is deliberate. The CRM owns the data, the trigger, and the signed artifact. The specialist owns the template library and the signer flow. Teams get the best of both without a reinvented engine competing with the specialist.

Is Strkr Docs a template library for proposals and contracts?

No. Strkr Docs is a Confluence-style internal wiki for the knowledge the team needs to run the business: runbooks, SOPs, onboarding guides, playbooks, policy pages, reference material. Pages, spaces, inline comments, version history, searchable from the global command bar. It is deliberately not a customer-facing document template surface, and the page intentionally does not pretend otherwise. For customer-facing documents, use the Products module for quotes and proposals, and use the DocuSign or PandaDoc integration for the long tail.

How does Strkr trigger document generation if the generation lives in a partner tool?

Flows is the native trigger engine. A Flow watches record changes (stage change, approval decision, time elapsed, field edit, custom webhook) and fires an action against the connected DocuSign or PandaDoc integration with the record payload. The specialist tool receives the payload, renders the envelope from a template, routes it to the signer, and streams events back to Strkr through a webhook. Strkr owns the trigger logic, the record data, and the signed-artifact storage. The partner owns the template and signer flow. The rep never touches a second tab to kick things off, and the automation layer stays inside the CRM where the deal lives.

What is the real cost of running the Strkr plus DocuSign stack versus Conga on Salesforce?

The Strkr side is the per-seat subscription with no per-document meter. DocuSign starts around $45 per sender per month on Business Pro and climbs with signature volume and compliance tier. For a 30-rep team the all-in is Strkr seats plus roughly $16,200 per year in DocuSign licensing. Conga Composer on Salesforce is the Salesforce seat plus roughly $35 per user per month for Conga plus a certified admin to maintain the templates, which is a line item many teams either hire for or train an existing admin into over multiple quarters. For CRM-native documents (quotes, proposals, renewal paperwork, QBR packets) the Strkr-plus-partner split is materially cheaper and does not require a certified admin on either side. For enterprise shops already running Conga on a large contract, Strkr integrates with it via webhook rather than asking them to rip and replace.

Can I connect both DocuSign and PandaDoc, or do I have to pick one?

Both. Each integration is a separate tenant-level connection, and a Flow can route to either based on template, deal type, geography, or any field on the record. Teams running PandaDoc for proposals and DocuSign for countersigned master agreements configure both and let the Flow pick the right surface for each document. The CRM is agnostic about which signer surface renders the envelope. The signed artifact lands back on the Strkr record regardless of which partner handled the signing step, so reporting and renewal flows do not care which tool was used.

Does Strkr handle bulk document generation, like renewal paperwork for 500 accounts at once?

Through the integration. A Flow iterates over the matching accounts (every subscription expiring in the next 90 days, every account on the Enterprise tier, every account tagged for Q4 renewal) and fires an envelope per account against the connected DocuSign or PandaDoc template. The specialist tool handles the per-document render; Strkr handles the enumeration, the throttling, and the status aggregation. The result is a batch summary on the Flow run showing successes, failures, and retries. Bulk document rendering on the Strkr side alone is not a shipped capability. The specialist tool does the rendering; Strkr does the orchestration.

How do approvals work in the split stack if the document lives in a partner tool?

Approvals happen inside Strkr before the envelope ever leaves the CRM. A Flow evaluates the approval rule (discount depth above the policy threshold, contract value above a dollar amount, non-standard legal clause flagged on the quote, regulated industry on the account) and routes the run to the right approver inside Strkr with the record context, the quote preview, and the proposed envelope payload. The approver reviews inside Strkr and clicks approve or reject with a note. On approve, the Flow continues and fires the DocuSign or PandaDoc envelope. On reject, the Flow writes the decision to the record and notifies the originating rep. The business approval stays inside the CRM where the policy lives; the partner only sees envelopes that have already cleared the gate. The audit trail is one query against the Strkr approval log, not a reconciliation across two tools.

What happens on the Strkr record when a buyer signs or declines in DocuSign?

The partner posts a webhook back to Strkr the moment the signer takes action. On a sign event, Strkr attaches the signed PDF and the audit certificate to the deal and account, updates a status field, writes a timeline entry naming the signer and the signature timestamp, and fires any downstream Flow listening for the status (Closed Won automation, provisioning kickoff, invoice generation, renewal clock start). On a decline or void event, Strkr writes the reason, notifies the deal owner, and marks the envelope status so the pipeline report shows the drop without a human closing the loop. Reps and managers see one activity feed with every envelope event stamped on it, and nobody has to log into the partner tool to find out whether the buyer opened the email.

Related features

Pair this with...

Proposals (Products module) E-signature Contract Management Flows (trigger engine) Custom Fields

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