AI that sets up, runs and explains your partner program
Answer a few questions and get a working program draft. Then let AI score applicants, draft the follow-ups, run workflow steps and model commission changes, while you approve anything that matters. On your own model key.
Nine jobs, one model key
Seven are in the product today. Two are being built and are marked as such.
AI Program Designer
From your signup answers to a draft program: groups, tiers, commission rules, a mission path and application questions.
See itApplicant fit scoring
Every application scored 0–100 against your ideal partner, with strengths, risks and a suggested group.
See itAgentic assistant
One chat over a manager and specialist roles that use your program's tools and pause for approval.
See itAI workflow steps
An ai_step node in any playbook that returns structured output the next step can use.
See itCommission simulator
Run a proposed rule over past deals and see the cost and who earns more or less.
See itIntegration MCP server
Coding agents connect your product to the program: guide, connections, self-tests, readiness.
See itRecruit agent
Keeps a ranked prospect list from your ideal partner profile and drafts the invites.
Fraud & anomaly radar
Risk scores on conversions and partners, with commission held for review.
Natural-language analytics
Ask a question in plain words and get a table, a chart and a one-line answer back, answered from an allow-listed set of metrics, never raw SQL.
From signup to a running program
Tell us what you sell, who your partners are and how you bill. The Program Designer drafts the whole setup — partner groups, a tier ladder, commission rules with previewed payouts, an onboarding mission path and application questions — and shows it as a list of changes you apply, edit or drop.
- ✓Works for SaaS channels, agencies, referral programs and franchise networks
- ✓Commission rules checked against the same preview engine as live payouts
- ✓Nothing is created until you apply the draft
Score every applicant the same way
Each application to your program is scored against your ideal partner profile. The score comes with the strengths and risks behind it, a suggested group and tier, and the questions worth asking before you decide.
- ✓0–100 fit score with the reasons attached
- ✓Suggested group and tier for the approval
- ✓Questions drafted from the gaps in the application
- Serves your target segment
- Existing services practice
- Small team for two regions
Ask for the outcome, approve the action
The assistant is one chat over a small team: a manager breaks your goal into steps and hands each to a specialist role that uses the program's own tools. Anything that reaches outside the platform or cannot be undone pauses for your approval. Partners get the same assistant in their portal, limited to their own data.
- ✓Reads and acts through the same permissions you have
- ✓Every tool call shown as it runs
- ✓Outward and irreversible steps wait for approval
AI as a step, not a side panel
Drop an ai_step into any playbook. Give it a prompt and the shape of the answer you want; the step returns structured output that the next node can branch on, write to a record or put in an email. Simulate the playbook on sample data before it runs.
- ✓Structured output validated against your schema
- ✓Classify, summarise, extract or draft inside a workflow
- ✓Runs on the workspace's own model key
{"type": "ai_step","prompt": "Classify this request and draft a reply","output": { "category": "string", "urgent": "boolean", "reply": "string" }}
{ "category": "co-op funds", "urgent": false, "reply": "Thanks — we…" }
Change a rate without guessing
Before you change a commission rule, run it over your past deals. See the extra payout cost, how many partners earn more or less, and a one-sentence summary of the change that you can send to partners as it is.
- ✓Uses the same engine as live commission
- ✓Who wins, who loses and what it costs
- ✓A plain-English summary for partners
Let a coding agent do the integration
Point Claude Code, Cursor or any MCP client at the integration server with an operator key. The agent reads the integration guide, creates test connections, runs self-tests and reports readiness for live, all scoped to your workspace and environment. A second MCP server exposes the program itself to AI tools.
- ✓Guide, connections, webhooks, provisioning and readiness tools
- ✓Scoped by key, permission and live or test environment
- ✓Guided prompts for integrate, verify, launch and troubleshoot
{ "mcpServers": {"partneros-integration": {"url": "https://partnerswatch.com/api/mcp/integration","headers": { "Authorization": "Bearer <operator key>" }}} }
Next on the AI roadmap
Recruit agent
Keeps a ranked prospect list from your ideal partner profile and drafts the invites.
Fraud & anomaly radar
Risk scores on conversions and partners, with commission held for review.
Bring your own key. Keep your own tenant.
Add an OpenAI, Anthropic or Gemini key and every AI feature in your workspace runs on it. Keys are encrypted and scoped to the workspace that added them. The usage log keeps the feature, model, token counts and latency for each call, so you can see what AI costs you, and never stores prompt or output text.
- ✓OpenAI, Anthropic and Gemini adapters
- ✓Per-workspace encrypted keys; no cross-tenant reuse
- ✓Usage by feature and model, without prompt text
Four rules every AI feature follows
Drafts, not decisions
AI output lands as a draft you review. Program changes are a diff you apply; outward actions wait for approval.
Your model, your bill
Bring an OpenAI, Anthropic or Gemini key. Keys are encrypted per workspace and only used for that workspace.
Scoped to the tenant
Tools run with the signed-in user's permissions inside their own workspace. Partners only ever reach their own data.
Shows its work
Every tool call is visible, and each model call is logged by feature, model, tokens and latency, never the prompt text.
Models and tools AI works with
Ready to run your partner program in one place?
Book a walkthrough and see recruitment, PRM, automation, payouts, CX, and dashboards working together — on one platform.