TRUSTED DEAL INTELLIGENCE LAYER
From fragmented knowledge of your revenue engine into a living map.
Where revenue can happen. Why. And how to act.What you sell, who's involved, your relationships, your signals, and your systems finally connect in one living map: the brain your CRM and AI tools have never had.
SAIQ is an innovation decision, not a technology implementation.Not another sales tool. An enabling device for innovation.
Where this is going
Every sales team already has an AI tool.
But tools get replaced, and whatever they learned resets with them. What actually understands your revenue org doesn't reset. It keeps compounding, and the longer you wait to start, the wider that gap gets.
Today
AI Tool
replaced on a cycle. Whatever it
learned resets to zero with it.
What lasts
SAIQ's Revenue Map
never resets. Every signal makes it smarter, permanently, across people, accounts, products, processes, and revenue.
It matters when you start building the map, not just that you eventually do.
Every new signal builds on everything before it
You already have the tools
Your tools assume simple and static.Your revenue org is neither.
Not because they're missing information. Because everything about revenue org keeps shifting, and treating any part of it as fixed is exactly where the real answer gets lost.
- 01
Your portfolio isn't one thing.
Generic AI reasons from the public internet. It doesn't know your actual products, what makes one the right fit over another, or why.
- 02
Your buying committee isn't one person.
Neither generic AI nor your CRM verifies it. A champion who left six months ago still looks live to both.
- 03
Your deal isn't one conversation.
Every chat session starts from zero. Whatever happened last quarter is gone the moment the window closes.
Where no one else even competes
SAIQ scans an entire portfolio, yours or a partner's, and find exactly where it fits.
Not a single deal, and not just your own portfolio. Against a whole account: what fits, where the need is, what's already triggering it, how offerings might bundle or sequence, and where the revenue inside accounts you already own is still untapped.
Portfolio to account
Scans everything you sell against everything a target account needs, not one product against one deal.
Bundle and sequence
Figures out how offerings combine or lead into each other, the way your best rep would, not a static playbook.
Revenue you already own
Finds expansion and cross-sell inside existing accounts by reasoning over what they already have, not just what's new.
Not another deal tracker
Other tools find deals you already know about. SAIQ finds the ones nobody does.
Deal-intelligence tools narrate what's already on your radar, you surface it, they tell you the rest. SAIQ works the other direction: reasoning across your whole portfolio and every account to surface the whitespace, expansion, and cross-sell opportunities nobody flagged, because nobody knew to look there yet.
1. Whitespace you didn't chart
Finds accounts and product fits that were never on a target list, because nothing surfaced them until now.
2. Expansion nobody flagged
Reasons over what an account already owns to find upsell and cross-sell paths a rep would have had to guess at.
3. The aha, before you ask
Pushed to you as a signal comes in, not waiting for a rep to notice something and go digging for it.
Why this is an innovation decision, not a build project
DIY and generic AI both fail at the same thing: matching your full portfolio to every account you sell into.
Matching your full portfolio of offerings to every account is a highly specialized problem — and solving it takes AI engineering talent your business isn't built to compete for. That's exactly what partnering with us provides.
Deployment success —
66% vs 33%
partnered vs. built internally
Across 300+ enterprise AI initiatives, MIT found 95% of organizations get zero return on $30–40bn of AI spend. Partnering roughly doubles the deployment success rate.
Source: MIT, 2026
Raised AI investment meaningfully in 2026 —
71% vs 25%
innovation champions vs. everyone else
Innovation champions are 3× more likely to have redesigned workflows around AI. Everyone else mostly just automated complexity instead of solving it.
Source: McKinsey, July 2026
How it works
Three steps. No jargon.
Step 1
Map your revenue org once
Products, value drivers, stakeholder patterns — built from what you actually sell, not a generic template.
Step 2
Reason against that map, every deal
Every account gets scored against the real map, kept current as signals come in — not reasoned from scratch each time.
Step 3
Push governed action, wherever you work
Your CRM or your generic AI tool. Same map, everywhere you act. Pauses for human sign-off on anything outside a set threshold. Full audit trail.
the pain SAIQ thinks the account is actually fighting, built from the account's own signals — not a generic pain-point template.
Every lead gets the same problem-diagnosis pass. Nothing gets skipped because a rep didn't have time to dig.
The diagnosis traces back to specific signals — calls, news, CRM notes — not a hunch dressed up as insight.
The step both answers require
Partner first. Buy on the evidence.
Buy or build isn't actually the first decision — partnering is what both paths require. Start with a contained group on real accounts. Live in weeks, not years.
If you decide later that building makes more sense, this doesn't close that door. You're validating what the map is worth on your own book, on evidence — not committing to a specification you haven't tested.
90–120 days
to measured results, with the security review running in parallel — not first.
This is a revenue outcome. Not a research shortcut.
Finding fit inside accounts you already own and closing faster on the ones you're chasing, that's the point, made possible because reps get back the roughly 95% of research time SAIQ used to cost them. The time saved is why this works. Revenue is why it matters.
- shorter sales cycles
- 40%shorter sales cycles
- higher close rates
- 35%higher close rates
- revenue increase
- 20%+revenue increase
"How did you know that?"
meetings booked in one month by a rep using SAIQ talking points vs. the prior two months combined
Before you book the demo
Why not build our own copilot on ChatGPT or Claude?
DIY copilots fail three ways: output quality depends on each rep's prompting skill, costs are metered and unpredictable, and the tool dies when its builder leaves. SAIQ engineers the prompts, the deal memory, and the governance into the platform itself.
What CRMs and AI models does SAIQ work with?
CRM-agnostic, MCP-compatible, model-agnostic. Same governed deal context, whether your team lives in Claude, ChatGPT, Copilot, or your CRM's own AI surface.
Can this act on its own, or does a person stay in the loop?
Both, by design. SAIQ pauses for human sign-off on anything outside a defined confidence threshold, with a full audit trail behind every action it does take — governed autonomy, not unsupervised autonomy.
What is SAIQ?
SAIQ (SalesAssistIQ) is a deal intelligence layer for autonomous CRM. It sits between your CRM and your AI, continuously building the living story of every deal: persistent memory, a sales-specific commercial ontology, and governed reasoning. This gives any LLM — Claude, ChatGPT, Copilot — the reproducible, auditable context it needs to act on deals you can trust.
How is SAIQ different from an AI chatbot or copilot?
A chatbot answers when you ask, and starts over each session. SAIQ is proactive — it surfaces the next right action before you ask — and it holds a persistent, versioned deal story that carries over between sessions instead of resetting every time.
What is a deal intelligence layer?
The reasoning layer between general AI tools and your CRM — the part that actually understands what you sell, how you sell it, who you're selling to, and what's true about every deal at every point in time. It turns scattered GTM data into deal intelligence you can trust.
Does SAIQ have an MCP server?
Yes. SAIQ is live in the CRM and exposes its intelligence through an MCP server, so it reaches sellers in the AI tools they already use. Broader chat-surface coverage is rolling out further as that surface comes online.
How does SAIQ keep AI outputs governed and auditable?
Every score, recommendation, and stakeholder claim traces to its source. When an agent hits a decision it can't resolve safely, the workflow pauses and routes to a human — full audit trail, never a silent failure.
How do I try SAIQ?
Self-service activation: a 3-step registration, with a free trial that includes 10 lead qualifications and 2 opportunity analyses.
See the difference on a real deal.
Book a live demonstration: any LLM alone vs. that LLM + SAIQ on one of your deals. The difference is categorical.
CRM Agnostic · MCP Compatible · Model-Agnostic