Feature · AI Sales Assistant

The AI sales assistant that works like the rep already does.

Strkr AI is the native assistant inside Strkr. Chat with your pipeline from any record, draft the next email, summarize the last call, prep a brief two hours before the meeting, surface the next-best action on every account. One assistant, every paid tier, no credit meter, no add-on SKU.

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What a sales rep actually needs from an assistant

Nine daily jobs an AI assistant can take off the rep.

The job of a sales rep is to run a pipeline, not to run a CRM. The assistant most reps need is not a chat window on a separate tab, it is a working partner on the record they are already looking at. The nine jobs below are the ones that eat the most time per week on a real sales floor, graded by how often the rep repeats the same shape of work. Strkr AI ships every one of them inside the record, inside the pipeline view, and inside the compose window. There is nothing new to open, nothing new to log into, and no shortcut to memorize.

Chat on every record

A side panel on every account and deal.

Open an account or a deal and the Strkr AI panel sits on the right edge. Ask it anything about the record in plain English. What did we last discuss, who are the stakeholders, what is this account's renewal history, where is the open deal stuck, which contacts have engaged in the last 30 days. The panel reads the full object graph for that record and answers from live fields, not a cached vector guess. The context travels with the page. No prompt priming, no re-explaining the account every time.

Pipeline chat

Ask your pipeline a question.

Open the Pipeline view and ask "which deals need my attention today?" The assistant reads every open deal under the rep, applies risk, activity, and value signal, and writes back a ranked list with one-line reasons on each. Follow up with "and which should I push to Q2?" and the context carries. Pipeline chat is how a rep plans a morning in sixty seconds instead of thirty minutes with a spreadsheet.

Draft the next email

Context-aware, in the rep's voice.

Click Compose on a contact or deal. Pick a goal: follow up on the last proposal, reopen a cold account, book a meeting, send a renewal reminder, reply to an objection. Strkr AI reads the thread history, the deal context, the last activity, and the rep's past outbound style, then drafts the email in the rep's voice. The rep tweaks a sentence and sends. Three minutes becomes forty seconds.

Summarize the last call

From transcript to logged deal update.

Record the call through the native video integration. Within two minutes of hang-up, Strkr AI delivers a three-paragraph summary, pulls out the next steps with owners and due dates, logs it to the deal timeline, and nudges the rep if a stage change is implied by the conversation. The rep does nothing except have the meeting. End-of-day CRM backfill goes to zero.

Next-best action

A single recommendation on every account.

Each account page carries a next-best-action chip near the top. Follow up with a stalled champion, send a renewal check-in, re-engage after a lost opportunity, loop in a solution engineer, request a reference call. The recommendation is grounded in the record's state, not a generic playbook. The rep can accept it, dismiss it, or ask the assistant to justify it.

Meeting prep brief

A 2-hour pre-call briefing, every meeting.

Two hours before any calendar event tied to a CRM record, Strkr AI drops a prep brief into the rep's inbox. Who is on the call, what the deal history looks like, which objections have surfaced, what the last few activities said, and which three questions to open with. The brief is five short paragraphs the rep can skim in ninety seconds between calls.

Account brief

A one-pager for any account, on demand.

Ask Strkr AI to write an account brief and get a structured one-page summary: company context, product usage shape, open deals, renewal exposure, key stakeholders, recent activity signal, and a short "state of the relationship" paragraph. Use it before an exec meeting, before a QBR, before a renewal push. Takes 15 seconds to generate instead of 15 minutes to assemble by hand.

Objection helper

Draft a response to any pushback.

A prospect replies "we are already using a competitor" or "the price is too high right now." Highlight the objection in the thread and click Draft Response. Strkr AI pulls the account context, the deal stage, your prior objection-handling patterns, and the known value drivers for this segment, then drafts a response that the rep can edit and send. The rep is not reinventing a reply they have written forty times.

Deal-risk explanation

Not just a score, a short why.

Every open deal carries a 0-to-100 risk score with a one-sentence reason attached. Hover for the full chain: stage age over the segment median, no activity in 12 days, two of three stakeholders have gone dark, discount depth over the segment norm. The rep sees the reasoning, not just the color. That is what turns a score from a vanity metric into a tool a rep will act on.

How Strkr AI sits on the rep's screen

The assistant that lives where the work happens.

A chat window on a separate tab is a chatbot. An assistant is something that lives on the record the rep is already working. Strkr AI is surfaced on every page in the product with the context of that page already loaded. The rep does not type "look at account 1234" and wait, they open account 1234 and the assistant is there with the context primed. The sections below walk through each surface the assistant appears on and what it is primed to do when the rep lands.

Record side panel

Primed with the record you opened.

The side panel on accounts, contacts, deals, leads, and custom-object records opens with the record already loaded as context. Ask anything in plain English and the answer comes back grounded in that record's live fields, timeline, and related entities. The panel also carries quick-action buttons: draft email, write note, suggest next step, explain risk, write brief.

Pipeline command bar

Ask the whole pipeline, not one deal.

The command bar at the top of the Pipeline view answers questions scoped to the full pipeline under the rep. Which deals are at risk, which champions have gone dark, where is the forecast exposed, which stage has the most slippage, what is the highest-value deal with the least recent activity. The answers come with sorted deal lists the rep can click into.

Compose window

In every email thread, every reply.

The Compose window has a Draft with Strkr AI button next to Send. Pick a goal, get a draft, tweak the first and last sentences, send. The compose also has an inline response helper that offers a draft reply whenever an inbound email lands on an open deal, so the rep does not have to open a separate panel to start one.

Calendar event

Prep briefs delivered pre-meeting.

Any calendar event with a tagged CRM record triggers a brief two hours before start time. The brief lands in the rep's inbox and on the event itself. Open the event five minutes before and the brief is right there, no searching through email, no opening the account page in a second tab.

Post-call panel

Where the transcript becomes a note.

Within two minutes of a call ending, Strkr AI delivers a transcript, a structured summary, a next-step list, and a suggested stage update. The rep reviews, edits, clicks save. The note is on the deal, the follow-ups are tasks, and the stage change is suggested but not applied until the rep accepts it.

Home widgets

The assistant's view of the rep's week.

The Home page carries three Strkr AI widgets: a Next Best Actions list across the pipeline, a Deals That Moved explanation of overnight risk score changes, and a This Week brief that summarizes what is likely to close, slip, or need the rep's attention. Monday morning begins with a map, not a scramble.

Mobile

Full assistant on the phone, between meetings.

The Strkr AI panel ships on the mobile app with the same surface area as the desktop. Between meetings in a parking lot, a rep can ask about the next account, dictate a note, draft an email, and ask for the next-best action. The assistant does not degrade on mobile the way most CRM features do.

Slack and inbox

The assistant surfaces where the rep lives.

Pipeline alerts, risk score changes, meeting briefs, and daily digests arrive in Slack or email based on the rep's preference. Reply inline to interact. The rep does not have to open the CRM for the assistant to serve them during a day of back-to-back calls.

Keyboard-first

Shortcut-opened on any page.

A single keystroke opens the assistant on any page in the product. The input is a full command bar: ask a question, draft an email, write a note, generate a brief, or run a saved prompt. Keyboard-first reps run their entire day without touching the mouse.

Why Strkr AI is a rep's assistant, not an admin's report

The difference between a demo chatbot and a daily tool.

Most AI CRM features demo well because they answer broad questions on sanitized data. The useful question is whether the assistant survives Monday morning on a rep's real pipeline. The cards below are the specific design choices that separate an assistant a rep opens every hour from a feature a rep tries once and never returns to. Each is a design decision Strkr AI made differently from the typical big-vendor approach.

Record-primed context

The assistant sees the page the rep is on.

A rep on an account page does not want to type the account name into a chat window. Strkr AI reads the active record from the URL, loads it as context, and answers questions scoped to that record by default. Switching accounts in the URL switches the context automatically. The rep never explains the situation twice.

Voice-fitted drafting

Emails that sound like the rep.

Write-assist that generates a single global tone is write-assist that nobody ships. Strkr AI learns per-rep voice from past outbound and prefers that pattern. New reps get a role-tier default, then the model warms up to their style over the first thirty days. Drafts are near-sendable, not completely rewritten.

Reasoned recommendations

Next-best actions with a why.

A chip that says "follow up with Jane" is noise. A chip that says "follow up with Jane because the proposal has been open 11 days and her last reply hinted at budget approval next Monday" is signal. Strkr AI ships the second shape. The rep decides, armed with the context, instead of blindly accepting an opaque suggestion.

Suggestion mode default

The rep still owns the send button.

Assistant-drafted emails sit in a review state. Assistant-suggested stage changes land as suggestions on the deal. Assistant-generated notes are editable before save. Nothing writes to a customer or alters a record without the rep accepting it. Autonomous mode exists per-flow with an admin control, not a global toggle.

Fast on the hot surfaces

Streaming where it matters.

Deal risk is computed overnight so the morning UI is instant. Write-assist streams tokens the moment the Compose window opens, so the rep is editing a draft while the model is still finishing it. Account briefs ship in under two seconds. Nothing in the UI waits visibly on the assistant.

Clear uncertainty

Confidence surfaced, not hidden.

Deal risk scores carry a confidence tier. Call summaries flag passages where the transcription was ambiguous. The forecast number shows the deal count the model is leaning on. Reps learn which outputs to trust at a glance, which is the calibration that turns an assistant into a tool instead of a party trick.

Permission-aware

Sees exactly what the signed-in rep sees.

The assistant inherits the rep's role, ownership scopes, and field-level visibility. A rep asking "show me the enterprise segment pipeline" sees the same answer the UI would show them, not a privileged shadow view. Compliance review is a one-paragraph attestation, not a six-page questionnaire about an AI subsystem.

Audit-logged

Every write tagged as assistant-generated.

When Strkr AI writes a note, drafts an email, updates a field, or scores a deal, the activity log tags the write with the prompting context attached. Managers auditing a deal's history see which decisions came from the rep and which came from the assistant, and can reverse any of them with a click.

The pricing shape

An assistant that ships with the seat, not the invoice.

The AI pricing problem is not the sticker. It is the structure. Credit meters, data-platform preconditions, usage tiers, and per-conversation surcharges turn an assistant that should ship with the seat into a budgetary surprise six months in. The sales-rep assistants from the big vendors mostly follow one of three structures: a $550-per-seat upcharge on top of the base CRM, a credit meter that reprices every quarter, or a bolt-on from a specialist vendor that doubles the integration surface. Strkr AI follows a different pattern. The seat price is the AI price.

No credit meter

Adoption is encouraged, not metered.

A rep who uses write-assist a hundred times a day costs the same as one who never opens it. There is no credit per summary, no credit per draft, no credit per agent run. Sales ops can forecast monthly spend because the inputs do not change. The seat price is the full price, every month.

No add-on tier

The assistant is not a separate SKU.

Strkr AI is included on every paid tier. There is no "AI Starter" versus "AI Enterprise" tiering. The pricing page lists one line per plan, and that line covers both the CRM and the assistant. Procurement finishes the review in a day, not a quarter.

No data-platform prereq

No six-figure precondition.

The biggest AI CRM upcharges in the market assume a running data-platform deployment underneath, which is a six-figure license plus a multi-quarter implementation. Strkr AI runs against the same database the rest of the product runs against. Zero preconditions beyond having a Strkr tenant.

No per-conversation line

The invoice does not punish usage.

Some vendors meter per assistant conversation. The product team sells your execs on "AI everywhere," then finance opens the invoice and discovers "AI everywhere" costs more than the base CRM. Strkr AI has no per-conversation line. Encourage adoption, do not negotiate against it.

No bolt-on vendor

One system, one audit trail.

The big specialist assistants ship as a second SaaS vendor on top of the CRM. The buyer pays two invoices, maintains two audit trails, and reconciles two sets of records when the integration drifts. Strkr AI ships inside the CRM. One vendor, one audit log, one place for the rep to look.

No admin certification

Reps use it on day one.

Some AI assistants require a certified admin to configure, deploy, and tune per workflow. The admin salary alone usually exceeds the full Strkr license. Strkr AI ships with sensible defaults the rep uses without configuration. Admins can tune per-workflow prompts and templates when they want, but nothing is gated on their presence.

No per-rep upcharge

Every seat gets the full assistant.

Some vendors sell an AI SKU priced per-seat on top of the base per-seat. A ten-rep team adding the assistant discovers the cost of enabling it is the same as the cost of the CRM itself. Strkr AI is the same price for an SDR as for an AE as for a sales leader. Reps are not treated as cost centers.

Fair-use ceilings only

The rare upper bound is clearly posted.

The small number of workloads with real cost (long audio summarization, batch risk scoring over thousand-deal pipelines) carry a per-tenant fair-use ceiling that is clearly posted on the pricing page. Most tenants never see it. The team that does is a 500-rep floor on Enterprise, and the ceiling is lifted on request.

Predictable invoice

Finance never sees a surprise AI line.

The CFO opens the renewal and sees the same number as last quarter plus seats added, no AI usage spike, no credit top-up invoice, no "we upgraded you mid-cycle" line. Predictability is the feature finance teams rank highest, and the credit meter is the structure that kills it.

How reps use it on a real floor

Four patterns reps run every day.

The demo video shows a chat window. The product in production looks like four specific rep workflows that come up every day on a real sales floor. These are the patterns Strkr AI customers describe as the reason reps opened the assistant on day two and kept opening it on day fifty. Each saves meaningful time per rep per week, measured by shadow studies and backed by in-product analytics.

Morning pipeline plan

From inbox to prioritized day in ninety seconds.

A rep opens Strkr at 8:50 AM. The Home page already carries three cards: Deals That Moved overnight, Next Best Actions for the day, This Week brief. Ninety seconds of skimming replaces thirty minutes of pipeline spelunking. By 9:00 AM the rep knows which three deals to push on, which champion to reach out to, and which account needs the exec intro. The day begins on offense.

Reply-and-move

Inbound email handled in forty seconds.

A prospect replies to a proposal with a mild objection. The rep opens the thread, highlights the pushback, clicks Draft Response. Strkr AI returns a three-paragraph reply grounded in the deal context, in the rep's voice. The rep edits one sentence, hits send, moves to the next thread. The inbox-to-done cycle is forty seconds instead of five minutes. Repeated twenty-five times a day the savings compound.

Call-to-note

Zoom ends, note on deal, next step assigned.

A rep ends a Zoom discovery call at 11:30 AM. By 11:32, the transcript is in the deal timeline, the summary is logged, the three next steps are tasks on the rep with correct due dates, and the stakeholder count on the deal has incremented by the new attendee. The rep did nothing except have the meeting. End-of-day CRM backfill, the number-one complaint reps raise in exit interviews, goes to zero.

Pre-call prep

Two-hour brief, scanned in ninety seconds.

A rep has a 2:00 PM renewal call. At noon, Strkr AI dropped a prep brief into the rep's inbox and onto the calendar event. At 1:55, the rep opens the event, skims the brief in ninety seconds, and walks into the call knowing the renewal exposure, the open support tickets, the exec sponsor change six weeks ago, and the three questions to lead with. The brief is the difference between walking in prepared and walking in guessing.

The buyer's shortlist

How Strkr compares to the usual suspects.

Three categories of product get shortlisted alongside Strkr for the AI sales assistant job: the big-CRM assistants from the two leading vendors, the specialist revenue-intelligence products, and the newer meeting-focused assistants. Each is strong in a specific shape and each has a tradeoff. The comparison below is the honest grid buyers should walk every vendor through before signing.

Big-CRM assistants

Capable, pricey, often gated.

The two leading big-CRM assistants are capable and well-funded, and they are the right choice for teams already deep on those platforms. The tradeoff is that they typically require a running data-platform tier or a Pro-plus license to unlock the useful features. For a 50-seat team that just wants a working assistant, the fully-loaded cost ranges from the Strkr line to roughly ten times it.

Revenue intelligence

Deep on calls, thin on records.

The leading revenue-intelligence vendor is excellent at conversation intelligence and the specialist forecast product is excellent at forecast analytics. The buyer's math is whether to pay a specialist plus the CRM, or ship the capability inside the CRM at the seat price. For teams under 500 reps, native consolidation is usually the right call. For teams north of 500 with mature programs already running on a specialist, keeping it is reasonable.

Meeting assistants

Great at the call, blind to the record.

The newer meeting-focused assistants record and summarize calls well. The limit is that they live outside the CRM, which means the summary ships as a document link rather than a note on the deal, and the next steps become tasks in a second system. Strkr AI ships the same summary quality with the note landed on the deal and the tasks assigned on the rep.

Mid-market assistants

Credible on simple shapes, uneven at scale.

The mid-market CRM assistant is a credible option for a team under 50 reps selling simple SaaS. For a team with multi-year contracts, custom objects, product-led signals, or non-standard forecasts, the gaps show up fast. Strkr AI reads the full object graph including custom objects, so complex deal shapes do not degrade the assistant's answers.

Dialer assistants

Good for the phone, limited beyond it.

The dialer-attached AI products do well on in-call coaching for high-velocity phone teams. The tradeoff is that they are organized around calls, not around records, so the context lives on the call object instead of the deal. Strkr AI covers call summarization inside the record and extends to the rest of the rep's workflow.

Specialized meeting prep

Nice brief, separate inbox.

The newer meeting-prep tools do a reasonable brief. The limit is they live outside the CRM and outside the rep's inbox, so the brief shows up as a notification in a third app the rep now has to check. Strkr AI drops the brief in email and on the calendar event itself, where the rep already is.

An AI sales assistant on every paid tier, no credit meter, no add-on SKU.

Starter includes chat on every record, write-assist, call summaries, and deal risk. Pro adds pipeline chat, meeting prep briefs, next-best-action, and account briefs. Scale and Enterprise unlock full agentic workflow support and unmetered usage. The seat price is the AI price. Open a trial and send your first assistant-drafted email before lunch.

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Common questions

What buyers ask about this feature.

How is this different from the broader AI CRM positioning?

The AI CRM page covers Strkr AI at the category level, including deal risk scoring, pipeline review summaries, lead triage, forecast assistance, call summarization, meeting notes, write-assist, and dashboard anomaly detection. This page zooms in on the daily working experience of the assistant for a sales rep: chat with your pipeline, draft the next email, summarize the last call, prep for the next meeting, surface the next-best action on every account, and get a reasoned explanation on every risk score. The two pages describe the same product from different angles.

Does Strkr AI cost extra, or is it included in the seat price?

Included. Strkr AI ships on every paid tier at no additional charge. There is no credit meter, no per-conversation surcharge, no separate assistant SKU, and no data-platform prerequisite. Starter includes chat on records, write-assist, call summaries, and deal risk. Pro adds pipeline chat, meeting prep briefs, next-best-action, account briefs, and lead triage. Scale and Enterprise unlock full agentic workflow support and unmetered usage. The seat price listed on the pricing page is the full price for both the CRM and the assistant.

What does the assistant actually do inside a sales rep's day?

A real rep day with Strkr AI starts on the Home page with three widgets: Next Best Actions, Deals That Moved overnight, and a This Week brief. During email work, the rep uses Draft with Strkr AI on compose and inline reply suggestions on inbound. During pipeline work, the rep asks the Pipeline command bar questions like "which deals need my attention today." On record pages, the side panel is primed with that record and answers plain-English questions. Two hours before a meeting, a prep brief lands on email and the calendar event. After a call, the transcript, summary, next steps, and suggested stage change land on the deal within two minutes. The rep never leaves the CRM to use the assistant and never logs into a second tool.

How does this compare to the specialist revenue-intelligence products?

The leading revenue-intelligence vendor is excellent at conversation intelligence and the leading forecast-analytics vendor is excellent at forecast analytics. The buyer's math is whether to pay a specialist plus the CRM, or ship the capability inside the CRM at the seat price. For teams under 500 reps, native Strkr AI consolidates spend, removes a vendor, keeps the audit trail in one system, and lands notes directly on the deal instead of as a document link. For teams north of 500 reps with mature specialist programs already in production, keeping them is a reasonable choice and Strkr integrates with the common ones.

Can the assistant autonomously send emails or update records?

By default, no. Assistant-drafted emails sit in a review state until a human clicks send. Assistant-suggested stage changes land as suggestions on the deal, not as applied edits. Assistant-generated notes are editable before save. The default pattern is "write a solid first draft, then let a human own the final version." Autonomous mode exists for specific workflows like overnight risk scoring, lead enrichment, and dashboard anomaly detection. It is scoped per flow, gated behind an admin control, and ships with a one-click undo plus a daily digest of what the assistant did on the rep's behalf.

Is my data used to train a shared model?

No. Strkr AI runs inference against your tenant's data without that data leaving a scoped execution environment, and nothing is pooled across tenants to retrain a shared model. The customer-trust bar every enterprise buyer asks about is met by default rather than negotiated into a bespoke contract. Audit logs record every assistant read and write under the signed-in user's session identity, so the full chain of custody for assistant-generated content is reviewable alongside the chain for human-generated content.

Does the assistant learn an individual rep's voice for email drafts?

Yes. Write-assist that generates a single global tone is write-assist that nobody ships, because reps have to rewrite every sentence before send. Strkr AI learns per-rep voice from past outbound and prefers that pattern. New reps get a role-tier default (SDR, AE, CSM, Sales Leader), and the model warms up to the individual rep's voice over the first thirty days of outbound. Drafts are near-sendable from day one and improve from there. The rep can also pin example emails as voice anchors to accelerate the warm-up.

How does the two-hour pre-meeting brief work?

Any calendar event tied to a CRM record (account, deal, contact, or custom object) triggers a prep brief exactly two hours before start time. Strkr AI reads the record's history, the recent activity timeline, the stakeholder list, the deal state if applicable, and any related renewal or opportunity context, then writes a five-paragraph brief covering who is on the call, what the deal history looks like, which objections have surfaced, what the last few activities said, and which three questions to lead with. The brief is delivered to the rep's inbox and attached to the calendar event. For managers, the same mechanism delivers a 1:1 pre-read before each direct report meeting.

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