Introw is the AI-native partner platform on top of your CRM. The next generation of partner programs is headless: you don’t run partnerships from a portal, you run them where work already happens - Claude, ChatGPT, Slack, Teams, and your CRM. Agents do the mechanical work across the entire lifecycle, and humans stay in the loop where judgment matters.
The headless motion
A portal is one surface among many. The Introw vision is a world where agents do the mechanical work across the entire partner lifecycle and humans stay in the loop where judgment matters. A deal registers itself from a Slack message in under two minutes. Every strategic partner gets a QBR generated in seconds. Every deal gets a coach. Every partner question gets a 24/7 answer in their own language. RevOps stops being the bottleneck for “can you pull a list of…”. This works because of the bets that make Introw different from a legacy PRM:CRM is the source of truth
Every agent reads and writes through your CRM. Nothing to migrate, nothing to reconcile - attribution and reporting stay real-time and trustworthy.
Work where you already are
Partners and internal teams act in the tools they already use - CRM, Slack, Teams, email, and AI surfaces like Claude and ChatGPT. Nobody has to adopt a new tool, and the portal is optional.
Low total cost of ownership
No consultants, no dev tickets. The partnerships team configures forms, portals, content, and automations - and now the agents - itself, so the program stays cheap to run.
Composable building blocks
API, embed, sync, and MCP are pieces you combine and embed into your own stack, not a monolith you accept whole.
Built for both sides
The same headless motion serves everyone in the partnership - each person connects the AI assistant they already use and works with the data they’re allowed to see.For the channel team
Vendors run recruitment, segmentation, enablement, deal ops, coaching, QBRs, and ecosystem monitoring across the whole partner base - from Claude, Slack, or the CRM, without leaving their workflow.
For partners
Partners get a cross-vendor cockpit for onboarding, certifications, pipeline, registrations, and incentives - one assistant across every vendor they work with, no portal logins to juggle.
The shift: from portal-era to agentic
Every traditional channel motion has the same shape - a portal at the center, partners forced to log in, CAMs as human help desks, RevOps as the bottleneck for every question. The agentic model rebuilds the stack around agents that work in your existing tools, with humans where the judgment lives. Portal-era PRM- Partners log into a separate portal to do anything.
- Deal registration is a 14-field form. Most are abandoned.
- CAMs spend their week chasing partners and answering FAQs.
- QBR prep eats 2-4 hours per partner. Most partners don’t get one.
- Strategic questions wait days for a RevOps analytics cycle.
- Channel conflict is discovered three weeks after it happened.
- Agents work inside Claude, Slack, and the CRM - wherever the partner already is.
- Conversational submission, under 90 seconds, from anywhere.
- CAMs stop being help desks and handle strategic conversations only.
- QBRs generate in seconds; a manager edits and ships - every partner, every quarter.
- Live, plain-language queries answered in seconds, not days.
- Real-time conflict detection at the moment of submission.
Run it from the AI you already use
The fastest interface to your partner program is the AI assistant you already work in. Introw runs a secure MCP server - the Model Context Protocol is how AI clients connect to tools - that exposes your partner program to Claude, ChatGPT, Cursor, and any other MCP client. Once connected, an assistant can search partners, look up commissions and goals, review submissions, prepare a business review, and take scoped actions like updating a partner or registering a deal, all in plain language. The same protocol powers the partner side, so each partner connects their own assistant and works with their own data, scoped to exactly what they’re allowed to see.MCP overview
How the OAuth-protected MCP server exposes your partner program to AI clients.
Connect Claude
Point Claude at your Introw MCP server and start working conversationally.
Connect ChatGPT
Bring your partner program into ChatGPT through the same secure server.
Partner AI assistant
Give every partner their own MCP-connected assistant, scoped to their data.
AI agents
The assistants and agents Introw runs for partners and sellers.
Developer platform
The API, embed, sync, and MCP surfaces the agents build on.
Governance and trust
The “always-on AI agent” pitch has been around a while. The difference with Introw is that this one is genuinely deployable - because the safeguards are part of how the agent works, not bolted on afterward. An agent that can read your CRM and act on behalf of partners is only deployable if you can answer three questions with confidence: what can it see, what can it do on its own, and what happened after the fact. Introw answers all three.- Each person connects with their own login. Every assistant connects over the same secure sign-in your team and partners already use - no shared keys, no back doors.
- Agents are scoped by your roles and permissions. Data access follows your existing RBAC: a partner’s assistant reaches only that partner’s data, and an agent’s access follows the signed-in user’s partner scope rather than widening it.
- You decide what runs automatically and what waits for a human. A vendor-owned capability matrix keeps sensitive actions behind approval, so routine work flows straight through while anything that needs judgment waits for a person.
- Actions are recorded back to the CRM. Agent actions and approvals are written to the CRM timeline, right where your reporting already looks.
Read-only
Look up data the user can already see - partner tier, commission status, pipeline. Never writes.
Allowed
Execute a write on its own - for example, submit a deal registration to the CRM.
Approval required
Route to a human with full context first - for example, an MDF request above a threshold, or a channel-conflict override.
Blocked
Never available to the agent - for example, touching another partner’s records.
This is the same capability matrix referenced throughout the use cases - for example, the approval-workflow split that auto-approves the straightforward 80% and routes the 20% that needs judgment, and the enablement-support agent that answers freely but requires approval to provision or spend.
Who wins
Agentic PRM doesn’t replace people. It moves their work upstream - to the strategic, judgment-required part of every role - while agents absorb the mechanical work. The same headless motion lands differently for each role in the channel program.Channel chiefs
Proactive, not reactive. Live ecosystem visibility - ask any question, get an answer in seconds. A defensible recruitment ICP grounded in data, and win-rate compounding from prevented conflict.
Partner Development Managers (PDM)
Strategic time, not slideware. QBR coverage hits 100% of strategic partners, coaching scales to every deal, and an action queue replaces dashboards - roughly 250-500 hours per year recovered.
Channel Account Managers (CAM)
Relationships, not chasing. Stop being a human help desk and reminder bot: the agent handles 40-60% of routine support and chases onboarding progress in the partner’s channel.
Partner Marketing
Editorial, not assembly line. 10-20x content output without hiring, with every partner segment getting a relevant variant. The bottleneck moves from production to strategy.
RevOps & Channel Ops
Infrastructure, not lookups. No longer the bottleneck for every “can you pull a list of partners who…” request. Routine approvals auto-resolve, freeing capacity for real data work.
Partners themselves
Partnership that respects their time. Register a deal in 90 seconds from anywhere, see commission in real time, get a coach in every deal, and get 24/7 answers in their own language.
The partner lifecycle
Fifteen deep dives - from recruitment to QBRs - on what changes when an MCP-connected agent runs alongside the channel team. Each use case maps to a phase of the partner lifecycle, carries the evidence and economics behind it, and ships with Claude Code skills you can drop into your own terminal.Every use case is the native equivalent of the deep-dive article: the problem, how the agent solves it, who wins, the key statistics, an FAQ, and the matching skills. Open any card below to read the full rundown.
Phase 01 - Acquire & segment
Replace recruitment guesswork with evidence. Replace static tiers with live, multi-axis segments.Partner acquisition
AI lookalike modeling on your top performers replaces recruitment guesswork - lifting activation from 30% to 50%.
Partner segmentation
Replace static Gold/Silver/Bronze tiers with live, multi-axis segmentation for campaign relevance and fair promotion.
Phase 02 - Onboard & activate
Compress time-to-first-deal. Catch silent failure 60-90 days before the next QBR would.Onboarding
Cut time-to-first-deal from 6-12 months to 60-90 days with AI chasing agents and conversational journeys.
Activation
Lift activation rate from 30% to 50% with AI-driven early-warning detection of silent failure.
Phase 03 - Enable & communicate
Stop being a content factory. Generate from your knowledge base; ship in hours, not weeks.Training
Auto-generate courses from your knowledge base, grade open-question assessments, and ship micro-courses in an hour.
Enablement support
Deflect 40-60% of routine tickets and cut response time from 15 minutes to 23 seconds, 24/7, in every language.
Campaigns & announcements
Generate segmented campaigns from any source - LinkedIn posts, blogs, Loom recordings - multiplying output 10-20x.
Through-channel marketing
Arm partners with AI-ready, co-branded assets they launch in their own tooling - with every click and conversion attributed back.
Phase 04 - Transact & govern
Conversational deal reg, rule-based auto-approval, real-time conflict detection. SLA in seconds, not days.Deal registration
Register deals conversationally in 90 seconds - from Claude, Slack, email, or CRM - with clean CRM writeback.
Approval workflows
Auto-approve the 80% of routine submissions in seconds and intelligently route the rest, fully audit-logged.
Channel conflict
Cross-check every submission against direct and indirect pipeline in real time to protect win-rate and margin.
Phase 05 - Coach & review
A coach in every deal. A QBR generated in seconds. Strategic time finally goes to strategic work.Deal coaching
Segment-specific guidance in every deal - lifting partner-attached win rates 32% within six months.
QBRs / meeting prep
Collapse 2-4 hours of QBR prep into 10 seconds plus 15 minutes of editing - making 100% coverage feasible.
Phase 06 - Measure & optimize
Conversational visibility into commissions and ecosystem health. End “let me get back to you on that.”Commissions & incentives
Partners and CAMs query commission status, tier progress, and projections in seconds - no portal, no finance ticket.
Ecosystem performance
Ask your data “which Gold partners are at risk?” in plain language and get answers in seconds.
The Claude Code skill library
Every use case ships as one or more drop-in Claude Code skills - aSKILL.md file with structured trigger phrases, MCP tool calls, and PRM guardrails. Drop one into .claude/skills/<name>/SKILL.md and Claude triggers the right one when a prompt matches. There are skills for both sides: vendor skills for the channel team, and partner skills that give partners a cross-vendor view.
Browse the skill library
All 31 skills, grouped by use case, with full SKILL.md files ready to copy into your repo.