Your revenue engine, run by one AI brain.
Intelegit connects the tools you already own — CRM, email, calls, support, billing — then finds the revenue you're losing, proves why, and fixes it with your approval. From first marketing touch to renewal.
A forecast you can defend to the board
Built from your history — stage conversion, slippage, rep performance — with the variance explained deal by deal, before anyone asks.
Leakage in dollars — found and recovered
Stalled deals, silent pipeline, missed expansions, quantified in currency. Every recommendation carries its expected impact and its evidence.
Execution you can audit
Every AI action is scoped, approved and logged. Autonomy is a dial you set per action type — from suggest-only to fully automatic for the safe stuff.
You have the data. You have the tools. You still can't answer "why".
Data lives in ten tools. Answering "why is pipeline down?" costs your team a week of spreadsheet archaeology.
The CRM forecast is a negotiation, not a number. Everyone knows it's wrong; nobody can prove why.
Deals stall silently. By the time a QBR catches it, the close date has already slipped twice.
Marketing reports leads. Sales reports revenue. Nobody reports which leads became revenue.
Churn signals sit in support tickets the account owner never sees. Expansion signals sit in usage data nobody reads.
RevOps prepares data instead of improving operations. Insight arrives; execution doesn't.
Connect, model, detect, approve, widen.
Read-only to start. Nothing migrates, and your team keeps working exactly as before.
OAuth into Salesforce or HubSpot, read-only. Add email, calendar, Slack, calls.
Your records resolve into one normalized revenue model. Data quality issues surface immediately.
Leakage, deal risk and forecast variance computed on your history — with evidence.
Recommendations arrive as approvable actions. You set the autonomy dial per action type.
Turn on the next module. Same core, same data — configuration, not a project.
17 modules. One core. Adopt them independently.
Every module runs on the same brain — same data model, same evidence standard, same execution engine. Click any module for the full page.
The foundation
01 · Top of funnelMarketing OperationsCampaign to revenue
02 · Top of funnelLead ManagementScore · route · protect
03 · Sales engineSales OperationsProcess, enforced kindly
04 · Sales enginePipeline ManagementLeakage, seen early
05 · Sales engineDeal IntelligenceNever a score without a reason
06 · Sales engineForecasting & PlanningA number you can defend
07 · Sales engineSales PerformanceCoaching with evidence
08 · Sales engineConversation IntelligenceEvery call, on the record
09 · IntelligenceRevenue AnalyticsAsk anything. Get evidence.
10 · Post-saleCustomer ExperienceLIVELive in production today
11 · Post-saleCustomer Success OperationsChurn, seen from support
12 · Post-saleExpansion & UpsellGrowth hiding in accounts
13 · ExecutionRevOps AutomationWorkflows in plain English
14 · ExecutionAI Agent PlatformScoped, supervised, audited
15 · ExecutionAction & Execution EngineWhere insight becomes work
16 · CommandRevOps Command CenterThe single screen
It runs on the stack you already own.
9 connectors live today, read-only over OAuth. Anything without an adapter rides the same contract over the API.
What changed, and what it was worth.
Stage conversion and slippage computed from three years of the company's own history, with variance attributed deal by deal. Forecast review moved from negotiation to exception handling.
IllustrativeReplace with approved figures before publishingBFSI · regulatedChurn signals that reached the account owner in timeSupport sentiment, escalation history and usage joined to the renewal calendar, with alerts carrying the full history to the owner before the renewal conversation.
IllustrativeReplace with approved figures before publishingSeries B · 20–200 seatsSilent pipeline surfaced while it was still recoverableEngagement decay tracked per deal against the company's own baseline, with drafted follow-ups and next-step invites queued for one-click approval.
IllustrativeReplace with approved figures before publishingYour CISO signs off as fast as your CRO does.
TLS 1.2+ for every connection, AES-256 at rest. Credentials and OAuth tokens are held in a dedicated secret store, never in application tables.
Tenant identity is enforced in the data layer, not by application filtering. A query that omits a tenant boundary fails rather than returning someone else's rows.
Customer data is excluded from model training by contract and architecture. Improvement comes from a tenant's own revenue memory, which stays inside that tenant.
Source systems connect read-only via OAuth. We never ask for a password to a CRM, mailbox or billing system, and write scopes are granted per action type.
Visibility follows the org chart. Roles are enforced server-side on every request, and elevation is logged like any other action.
Every AI decision, recommendation, approval and execution is recorded with its inputs, its evidence and the person who approved it. Exportable for review.
Turn on only what you need. Pay for only that.
Every plan is quoted — priced on what you turn on and the value recovered, never on seats. Disabled modules cost nothing.
Pipeline intelligence, the AI Revenue Analyst and forecasting on one CRM. For your first RevOps hire — or instead of one.
Deal intelligence, automation, agents and the execution engine for revenue teams of 20–200. Scales with usage.
Multi-BU, SSO/SAML, dedicated environment, custom integrations and models. SOC 2-ready architecture.
The questions that come up in every evaluation.
Does the AI take actions on its own?
Only if you tell it to. Autonomy is a three-level dial per action type: Recommend (AI suggests, you execute), Approve (AI prepares, one click ships it), Autonomous (low-risk, reversible actions run under policy). Everything lands in an audit log.
What happens when the AI is not sure?
It says so. Every prediction ships with a confidence score and the factors behind it. Below threshold, nothing is asserted and nothing executes — the item is surfaced to a human as a normal task.
Do you train models on our data?
No. Your data never trains foundation models. The system gets better through your organization's own revenue memory — patterns, outcomes and intervention history that stay inside your tenant.
Do we have to migrate off our CRM or helpdesk?
No. The OS sits on top of the stack you run. Salesforce and HubSpot connect via OAuth; support, billing and warehouse adapters ride the same contract. Swap a tool later, keep the brain.
We map your revenue lifecycle, show the OS on live data, and estimate the leakage worth recovering in your pipeline.