An agentic CRM. Agents move the deals. You take the meetings.
Client Path runs the full deal lifecycle on a visual journey map. Research, qualification, sequencing, meeting prep, follow-ups, renewal watch. Every move audited, every action reviewable. You stay in the room for the relationship.
Three moves from offering catalog to deals closing on autopilot.
The agents aren't a sidebar widget. They have authority. They move the deal, draft the outreach, schedule the meeting. You stay in the loop with a confirmation policy you control per rule.
Define what you sell
Author offerings, products, and rubrics. Map cross-sell, prerequisite, and renewal edges between them. The agents read this as their playbook.
Set agent rules
Declare triggers (score crossed, stage dwelled, signal event) and what the agent should do. Choose confirmation or auto-execute per rule.
Watch the journey map
Agents move deals across stages, draft sequences, and surface signals 24/7. You see the canvas, approve from the inbox, and take the meetings.
A CRM where the agents have the authority.
No fields-and-forms dashboard. No bolt-on AI summarizer. The agents move deals across stages, manage your catalog and quotes, and audit themselves while doing it.
Two lenses on one canvas. The dashboard isn't a list of forms. It's the deal in motion.
Lens A · Deal Journey shows the next move from discover to close. Lens B · Client Trajectory zooms out to three years of activity across every offering you've touched on that account. Both render on the same xyflow canvas; the agents draw their reasoning right onto it.
One deal. Every move the agent has made. Every move it's about to.
This is the deal slide-over your team lives in. Stage progression, products, the live quote, agent activity, operator notes, all in one place. Pull it open from any card on the journey map.
Acme Corp · Sales-Intel · Expansion
Activity timeline
Briefing snapshot
Acme closed a $40M Series B in March, led by Insight Partners[1], and is tripling AE headcount this year[2]. The agent surfaced three buying signals in the last 24h. Re-research and propose advance are queued pending your review.
Traditional CRM, agentic CRM, AI-add-on. The honest version.
The old CRMs are a database your reps update. AI add-ons summarise the database. An agentic CRM does the work, and shows you what it did.
- Client PathVisual journey map + Lens A/B canvas
- Traditional CRMForm-and-field record pages
- AI add-onForm-and-field with a chat sidebar
- Client PathMoves deals · drafts · schedules
- Traditional CRMNo
- AI add-onPartial
- Client PathPer-rule · auto or human-gated
- Traditional CRMN/A
- AI add-onGlobal · all or nothing
- Client PathDiscover → expand → renew
- Traditional CRMSpread across tabs
- AI add-onNo
- Client PathNative · with cross-sell edges
- Traditional CRMNative (CPQ add-on)
- AI add-onNo
- Client PathRule · prompt · cost · cited
- Traditional CRMManual activity logging
- AI add-onPartial
- Client PathTriggered + diffed
- Traditional CRMNo
- AI add-onNo
- Client PathAnthropic · Ollama · Bedrock
- Traditional CRMN/A
- AI add-onNo
Pay per seat. Pay for the LLM you use. Nothing else.
Seat pricing covers the product. Pipelines, journey map, agent rules, quote management. LLM cost is metered through at provider rates with a 5% margin, fully audited in the activity log. Annual commits get a 22% seat discount and up to 18% on usage.
+ Metered LLM cost · pass-through
Every agent action shows its model tier, token count, and dollar cost in the activity log. We bill at provider rates with a 5% margin. Or bring your own keys and we bill nothing. Per-rule and per-run cost caps are hard, not advisory.
It plugs into the tools your team already runs.
LLM tier, search backend, CRM sync, email, calendar, billing. All swappable. Roll your own MCP server and connect a private data source in a config file. Agents pick the right tool from the rule.
The plain answers.
Let the agents work your pipeline tonight.
Wire one offering, set three rules, and watch the journey map light up. By tomorrow morning your AEs will walk into meetings that the agent already prepped for them.