Built for enterprise sales organizations with real procurement reviews

AI capability for sales representatives that holds up in a 120-page procurement questionnaire.

Enterprise procurement teams evaluating AI for sales representatives run a different review than mid-market. They want claims-propagating AI calls, full audit depth, model-routing governance, defensible data residency, and vendor-neutral labeling. Strkr's AI layer is architected for those requirements rather than retrofit after the fact.

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What this audience is actually dealing with

The pains that bring buyers here.

Enterprise procurement reviews for AI sales representative tooling got noticeably harder through 2026. The 120-page AI governance questionnaire is now standard at Fortune 500 buyers and increasingly common at mid-market with regulated-industry exposure. The questions have shifted from 'does the AI work' to 'where does the prompt go, who can see the response, how is the model chosen, what is the retention policy, and can we audit a call from last Tuesday.' The vendors that led the first AI CRM wave are catching up on these questions, which creates a procurement timeline problem for buyers trying to approve a vendor on a Q4 deadline. Strkr's posture is architecturally AI-governance-first because we built the AI layer and the compliance layer together rather than one after the other.

The 120-page questionnaire

Procurement AI reviews now run deeper than SOC 2.

Enterprise AI governance questionnaires routinely run 90 to 150 pages covering prompt residency, response retention, model-vendor transparency, user-claim propagation, audit depth, red-team posture, prompt-injection defense, and PII handling. Vendors that bolted AI onto an existing CRM typically answer 60-75 percent of questions cleanly. Strkr's posture is built to answer in the 90-plus percent range, with the gaps being specific regional certifications we have on roadmap.

Prompt and response residency

Where does the data actually go?

Enterprise buyers need to know specifically where the prompt and the response live: at the model vendor, in the CRM database, in a cache, in a log. Strkr's policy: prompts live transiently at the model vendor during the call and persist only in the Strkr tenant audit log; responses persist only in the Strkr tenant and the admin audit. No training-set contribution. The policy is documented, auditable, and uniform across the three-tier router.

User-claim propagation

Does the AI respect visibility rules?

Enterprise security reviews ask specifically whether AI calls run under the user's own claims or under a system account. Strkr runs every AI call under the asking user's claims and the same row-level security that gates the rest of the application. A rep who cannot read an account directly gets the same denial through the AI. Several first-wave vendors run AI as a system account with broader access, which fails this specific question.

Model-vendor transparency

Which model routes to which prompt?

Enterprise buyers need to know which model vendor processes which prompt type for data-sovereignty and model-governance reasons. Strkr publishes the current three-tier routing policy on request: WASM-local for simple transforms, light tier for mid complexity, the complex tier for deep reasoning. The policy document names the vendor per tier and the data-handling posture at each.

Per-call audit depth

Can we replay a specific AI call from last Tuesday?

Procurement committees ask whether a past AI call can be replayed with prompt, response, model routed to, latency, and user ID. Strkr captures all of this per call in the admin audit log, retained per the configured policy, exportable to a SIEM pipeline on request. First-wave vendors typically capture high-level activity only and cannot produce the per-call trace.

Prompt-injection defense

What happens when a prospect tries to jailbreak the AI?

Enterprise reviews ask what the vendor does when an incoming prompt contains an injection or jailbreak attempt. Strkr runs an AI Defense (AIMDS) layer that scans prompts for injection patterns and outputs for PII or banned-term exposure before anything reaches the UI. Admin configures block, warn, or pass per category. The layer is documented, versioned, and reviewable by procurement.

What enterprise AI sales rep capability looks like

The eight capabilities that pass procurement.

An enterprise-grade AI sales representative capability covers the daily rep workflow and the governance layer in equal measure. The cards below describe both: what the AI does for the rep, and what the admin and the compliance team can see about it. All shipped on the flat per-seat line.

Full rep daily toolkit

Inbox, calls, briefs, drafting, hygiene.

Inbox triage drafted at 7 AM. Pre-call briefs pushed 15 minutes before each meeting. Call summaries drafted in under 20 seconds. Outbound drafted in rep voice from account research. Pipeline hygiene cards surface stale deals. All eight rituals covered on one surface rather than a bolted-on side panel.

Claims-propagating AI calls

User visibility rules apply to every call.

Every AI call runs under the asking user's claims. A rep who cannot read an account directly gets the same denial through the AI. A manager asking the same question gets the manager-scope answer. The visibility rules propagate automatically rather than per-channel configuration.

Three-tier model router

Published routing policy per task complexity.

WASM-local for simple transforms, light tier for mid complexity, the complex tier for deep reasoning. The policy document names the vendor per tier and the data-handling posture. Procurement committees get the document on request for the vendor approval memo.

Per-call audit log

Replay any AI call from the admin console.

Every AI call captures prompt, response, model routed to, latency, token count, and user ID. The compliance officer replays any call in the admin console. Retention configured per policy. SIEM export on request. The admin audit is a first-class surface rather than a billing report.

AIMDS defense layer

Jailbreak and PII scanning on every call.

Incoming prompts scanned for jailbreak patterns, prompt injection, and known manipulation signatures. Outgoing drafts scanned for PII exposure, banned terms, and compliance-sensitive content. Admin configures block, warn, or pass per category. Documented, versioned, reviewable by procurement.

Data residency and retention

Prompts and responses in the Strkr tenant.

Prompt lives transiently at the model vendor during the call and persists only in the Strkr tenant audit log. Response persists only in the Strkr tenant and the admin audit. No training-set contribution from tenant data. Retention policy configured per customer. Documented and auditable.

Vendor-neutral labeling

UI says Strkr AI across every surface.

User-facing surfaces say Strkr AI. The underlying model-vendor routing is an operational detail that procurement gets as a formal document rather than a chat bubble. The capability is tested against the Strkr brand rather than against a model vendor whose reputation may shift.

Compliance tagging per industry

FinServ, healthcare, legal patterns identified.

For regulated industries the AI tags compliance-relevant content: risk disclosures, performance claims, PHI exposure, named-advisor disclosures, UDAAP-adjacent language. Compliance officer reviews the flagged subset weekly rather than sampling full recordings. HIPAA compliant with BAA available for healthcare teams.

Grounding guarantee

Live retrieval or honest refusal, every time.

Every AI response grounded in a live retrieval query over the tenant database, cited inline. When retrieval returns nothing matching the question, the response is 'I could not find a record matching that in your workspace' rather than a fabrication. The prompt policy is 'ground or refuse,' documented and tested.

How the governance layer answers procurement

The questionnaire sections where Strkr lands cleanly.

Enterprise AI governance questionnaires typically cluster around six sections. The cards below describe how Strkr's architecture answers each section in a way that lets procurement committees mark the question clean rather than tagging it as a vendor follow-up item that delays the approval memo.

Data residency section

Clean answer: tenant-resident with audit.

Prompts live transiently at the model vendor during the call and persist only in the Strkr tenant audit. Responses live only in the Strkr tenant. No training-set contribution. The documented policy answers the standard questions directly without a 'we are working on that' caveat.

Access control section

Clean answer: user claims propagate to AI.

Every AI call runs under the asking user's own claims and the same row-level security that gates the application. The access-control answer for the AI surface is 'same as the application' rather than a separate configuration the admin has to maintain. Procurement finds the answer cleaner than 'AI runs as system account.'

Model-vendor section

Clean answer: three-tier policy, per task.

The three-tier routing policy document names the vendor per task complexity tier, the data-handling posture at each, and the policy for routing changes. Procurement committees that want the detail for the vendor approval memo get the full document rather than a verbal 'we route to the best model.'

Audit section

Clean answer: per-call replay with SIEM export.

Every AI call captures prompt, response, model routed to, latency, token count, and user ID in the admin audit log. Replay in the console. SIEM export on request. Retention configured per customer policy. The audit answer is specific rather than high-level.

Prompt-injection section

Clean answer: AIMDS layer, documented and versioned.

The AIMDS layer scans incoming prompts for jailbreak and injection patterns and outgoing drafts for PII exposure. Admin configures block, warn, pass per category. The layer is documented, versioned, reviewable, and testable with procurement-supplied adversarial prompts in a trial tenant.

Compliance certification section

Clean answer: SOC 2 Type II in progress, HIPAA with BAA.

SOC 2 Type II controls are in progress through 2026-Q4; HIPAA compliant with BAA available for healthcare teams; GDPR and CCPA compliance for data-privacy sections. Specific regional certifications on roadmap, with timeline shared on request. The certifications slot into the standard procurement framework directly.

Where the capability stops

What Strkr's AI sales representative does not do.

The AI capability covers the daily rep workflow and the governance layer. The list below is where it stops at enterprise scale, with the procurement implication rather than a timeline.

Not a replacement for the human rep

AI augments; humans close.

Enterprise deals that run six to eighteen months with multi-stakeholder committees still need human reps for discovery depth, trust building, and negotiation. The AI drafts, logs, briefs, and watches follow-ups. Procurement memos citing 'AI replaces sales rep' tend to be a sign the buyer is overestimating current capability rather than a factor to filter on.

Multi-level forecast still favors Clari at 500+

Enterprise rollup at scale is a specialist job.

Strkr ships weekly forecast narrative and real-time risk signal native. Multi-level forecast rollups across regions, segments, and methodologies at 500+ rep orgs still favor Clari or BoostUp at that scale. Teams with that profile often run Strkr for the rep-level AI and Clari for the enterprise rollup, integrated via the open API.

Non-English quality lags

English drafting strongest; others vary.

Drafting quality is strongest in English, serviceable in Spanish and German, thinner in other languages. Multinational teams running non-English pipelines should pilot the drafting flows on a sample before standardizing. Quality notes per language published on request so the pilot has a defensible baseline.

Regional certification roadmap

Some regional data-sovereignty certs are on roadmap.

Strkr covers SOC 2, HIPAA, GDPR, CCPA at launch. Specific regional data-sovereignty certifications (BSI C5 in Germany, SecNumCloud in France, IRAP in Australia) are on roadmap. Enterprise buyers with specific regional requirements should ask for the current certification timeline so the procurement calendar can plan accordingly.

No autonomous one-off send

Human in loop on every one-off outbound.

AI drafts; rep sends. Autonomous one-off send is deliberately not shipped because the deliverability risk and brand-voice risk at the current model generation are too high. Pre-approved nurture sequences are the exception because the content was reviewed as a batch at setup.

Not a specialty authoring suite

Full RFP tools go deeper on 200-question questionnaires.

For teams running formal RFP responses with 200+ security questionnaire items, specialty tools like Responsive or Loopio go deeper on question-library governance and SME routing. Strkr integrates via webhook so answered questionnaires can land back on the opportunity.

Head-to-head

Strkr vs enterprise AI sales tooling.

The common enterprise shortlist for AI sales representative capability is HubSpot Enterprise with Breeze, Salesforce Enterprise with Einstein, and the first-wave agentic SDR vendors. The comparison below focuses on the governance-layer answers that drive the procurement decision at enterprise scale.

Feature Strkr HubSpot Enterprise + Breeze or Salesforce Enterprise + Einstein
User-claim propagation Every AI call runs under user claims Some surfaces run as system account
Per-call audit log Prompt, response, model, user retained per call Partial; no per-AI-call replay
Model routing transparency Published three-tier policy per task Single-model path for most features
SIEM export Audit log exportable on request Varies by tier
Prompt-injection defense AIMDS layer; admin-configurable; testable Platform-level; not surfaced to admin
Data residency posture Tenant-resident; no training-set contribution Varies by product and tier
Pricing on AI Flat per-seat; no per-conversation meter below cap Credit meter past floor
Grounding posture Live retrieval, inline citation, ground-or-refuse Mix of cached and live, varies
Compliance tagging FinServ, healthcare, legal patterns identified Available at specific tiers
Compliance posture SOC 2 Type II in progress through 2026-Q4; HIPAA compliant with BAA available Varies by product tier
How teams use Strkr

How enterprise teams run AI sales representative capability on Strkr.

Real deployment patterns across enterprise and regulated-industry customers. The common thread: procurement review approved cleanly and the AI capability deployed with the governance layer live from day one. Motions below.

Fortune 500 FinServ, 240 reps

Passed a 142-page AI governance questionnaire at 96 percent clean.

A Fortune 500 FinServ division evaluating AI for its 240-rep sales organization ran a 142-page AI governance questionnaire against three vendors. Two vendors landed in the 65-72 percent clean-answer range. Strkr landed at 96 percent clean with the gaps being two specific regional certifications we had on roadmap with a committed timeline. The vendor approval memo cited the audit depth and the AIMDS layer explicitly.

Enterprise healthcare, 180 reps

HIPAA BAA executed; AI live on PHI-adjacent conversations.

An enterprise healthcare provider ran a 90-day Strkr pilot with the HIPAA BAA executed before day one. The AI capability deployed across inbox triage, call summary, pre-meeting brief, and compliance tagging. The compliance team reviewed the first 2,000 AI calls in the admin audit and signed off on production rollout. The AI handled PHI-adjacent conversations with the compliance tagging layer flagging exposure for the officer's review.

Multinational SaaS, 420 reps

Data residency met across EU and US regions.

A multinational SaaS company with 420 reps split across EU and US regions needed data residency compliance for GDPR purposes. Strkr's tenant-resident policy with no training-set contribution satisfied the European procurement review. US reps and EU reps use the same product; each tenant's data stays regionally resident. The DPIA review ran in roughly 4 weeks rather than the typical 10-to-12 weeks the IT lead had budgeted.

Pre-IPO growth, 160 reps

Dropped first-wave agentic SDR after it failed the compliance review.

A pre-IPO growth team had bought a 12-month autonomous SDR contract in Q1 2025. The compliance team ran the AI governance review in Q3 2025 and found 11 critical gaps (user-claim propagation, audit depth, prompt-injection defense among them). The agentic vendor committed to roadmap fixes with a Q2 2026 ETA. The team ended the contract early and moved to Strkr, which cleared the same compliance review in week two of the pilot.

Government contractor, 85 reps

Federal procurement framework answered cleanly.

A government contractor selling into federal civilian agencies ran Strkr through a federal procurement framework (FedRAMP-adjacent, FISMA posture, specific audit retention). Strkr's architectural posture (tenant residency, per-call audit, claims propagation) answered the framework's specific requirements. The procurement committee cited the Strkr audit log as the single most defensible AI vendor posture they had evaluated that quarter.

The AI sales representative capability built for enterprise procurement.

Start a 14-day trial with the full governance layer live. User-claim propagation, per-call audit, three-tier model routing, AIMDS defense, tenant residency, compliance tagging. All on the flat per-seat line.

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Common questions

What buyers in this bucket ask most.

How does Strkr handle enterprise AI governance questionnaires?

Strkr's architecture is built to answer the standard enterprise AI governance questionnaire in the 90-plus percent clean-answer range, with the remaining gaps typically being specific regional certifications we have on roadmap with a committed timeline. The sections that land cleanest: data residency (tenant-resident with audit, no training-set contribution), access control (user claims propagate to AI), model routing (published three-tier policy with vendor per tier), audit (per-call replay with SIEM export), prompt-injection defense (AIMDS layer, admin-configurable, procurement-testable). We supply the full documentation package in the first demo week so procurement can run the review against real policy documents rather than verbal commitments.

Where do prompts and responses actually live?

Prompts live transiently at the model vendor during the call and persist only in the Strkr tenant audit log. Responses persist only in the Strkr tenant and the admin audit. No training-set contribution from tenant data at any routing tier. Retention policies configured per customer with the default at 90 days for the audit log and configurable to longer or shorter for specific compliance frameworks. The policy document names the model vendor per routing tier so procurement can run data-sovereignty analysis against the vendor policies if the customer's framework requires it.

How does the three-tier model routing work in enterprise?

The router picks per task complexity. Tier 1 (simple transforms like var-to-const, field conversion) routes to a WASM-local path with no external model vendor involved. Tier 2 (mid-complexity tasks like reply drafts, short summaries) routes to light tier models. Tier 3 (complex reasoning like forecast narrative, deal-risk analysis, cross-record retrieval) routes to the complex tier class. The vendor mix is published in the routing policy document on request. The economics work because every call routes to the cheapest model that can do the job rather than every call hitting a frontier model, which is why the flat per-seat pricing holds at enterprise scale.

Can the compliance team actually replay a specific AI call?

Yes. Every AI call captures prompt, response, model routed to, latency, token count, and user ID in the admin audit log. The compliance officer opens the admin audit console, filters by user, date, model, or latency, and clicks any specific call to replay the full exchange. SIEM export runs on request against the standard formats. Retention runs per customer policy. The audit log is a first-class product surface rather than a billing report, which is the single architectural difference most procurement committees cite as the defensible answer.

What specific compliance certifications does Strkr have?

SOC 2 Type II controls are in progress through 2026-Q4. HIPAA compliant with BAA available for healthcare teams. GDPR and CCPA compliance for data privacy. Specific regional certifications (BSI C5 in Germany, SecNumCloud in France, IRAP in Australia, FedRAMP for federal customers) are on roadmap with timeline shared on request. For enterprise buyers whose procurement calendar depends on a certification, we commit the roadmap timeline in writing during the demo week so the review can plan around real dates.

How does Strkr handle prompt-injection attempts from external prospects?

The AIMDS defense layer scans every incoming prompt for jailbreak patterns, prompt-injection payloads, and known manipulation signatures. The admin configures which categories block the call entirely, which warn the user and the admin, and which pass. Procurement committees can run adversarial testing in a trial tenant with their own red-team prompts; the layer behavior is documented and versioned. Every blocked or warned call is logged in the admin audit for later review. The posture is procurement-reviewable rather than a vendor-side black box.

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