PartnersWatch
PartnersWatch AI

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.

OpenAIAnthropicGeminiMCP
partnerswatch.com/admin/setup/design
Program Designer · review draftDraft
From your answers: B2B SaaS · resellers + referral · monthly billing
+2
Partner groups
Referral partners, Resellers
+3
Tier ladder
Silver → Gold → Platinum by won volume
+3
Commission rules
20% recurring 12 mo · $500 spiff · 90-day clawback
+1
Mission path
Onboard → certify → first deal
+3
Application questions
Region, customer count, services offered
EditApply 12 changes
01 · AI Program Designer

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
partnerswatch.com/admin/setup/design
Program Designer · review draftDraft
From your answers: B2B SaaS · resellers + referral · monthly billing
+2
Partner groups
Referral partners, Resellers
+3
Tier ladder
Silver → Gold → Platinum by won volume
+3
Commission rules
20% recurring 12 mo · $500 spiff · 90-day clawback
+1
Mission path
Onboard → certify → first deal
+3
Application questions
Region, customer count, services offered
EditApply 12 changes
02 · Applicant fit scoring

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
partnerswatch.com/admin/exchange/applicants/brightline
Brightline AgencyAI fit score
86
Strong fit
Audience match92
Region coverage80
Sales capacity74
Strengths
  • Serves your target segment
  • Existing services practice
Risks
  • Small team for two regions
Suggested group Agency partners · Silver. Ask: “Who would own onboarding for new customers?”
03 · Agentic assistant

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
partnerswatch.com/admin/assistant
Assistant
Which Gold partners haven't registered a deal in 60 days? Draft them a nudge.
list_partners tier = Gold
list_deals since 60d
create_task 3 drafts
Three Gold partners are quiet: Harbor & Co, Quill Labs and Cedar Group. I drafted a nudge for each with their best-performing link.
Send 3 emails? Needs your approvalApprove
04 · AI workflow steps

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
playbook node · ai_step
{
"type": "ai_step",
"prompt": "Classify this request and draft a reply",
"output": { "category": "string", "urgent": "boolean", "reply": "string" }
}
result → next node
{ "category": "co-op funds", "urgent": false, "reply": "Thanks — we…" }
05 · Commission simulator

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
partnerswatch.com/admin/commissions/simulate
Simulate: 20% → 25% for Goldlast 12 months
Payout cost
+$18.4k
Partners earning more
14
Earning less
0
Margin stays above your 60% target. Partners will read: “Gold partners now earn 25% of every subscription for 12 months.”
06 · Integration MCP server

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
Developer docs
~/.cursor/mcp.json · or Claude Code, ChatGPT, any MCP client
{ "mcpServers": {
"partneros-integration": {
"url": "https://partnerswatch.com/api/mcp/integration",
"headers": { "Authorization": "Bearer <operator key>" }
}
} }
coding agent · session
Wire up provisioning
get_integration_guidepayload, auth, retries
create_connectiontest environment
run_integration_selftest4 / 4 checks pass
integration_readinessready for live
Being built

Next on the AI roadmap

Recruit agent

Keeps a ranked prospect list from your ideal partner profile and drafts the invites.

Coming soon

Fraud & anomaly radar

Risk scores on conversions and partners, with commission held for review.

Coming soon
Your model, your data

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
partnerswatch.com/admin/settings/ai
AI providersYour keys
ProviderKeyStatus
Anthropicsk-ant-…4f2aDefault
OpenAIsk-…91cdActive
Google GeminiplatformFallback
AI usage · 30 days
assistant
62%
playbook.ai_step
24%
fit scoring
14%
Keys encrypted per workspace. Usage logs keep tokens, never prompts.
How we build AI features

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.

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.