AI software · Relevance AI
Promote Relevance AI
Relevance AI
The enterprise platform where your domain experts build, govern, and scale AI agents that run your go-to-market playbooks.
Partner summary
The offer at a glance
A quick read on buyer fit, pitch, economics, and promotion fit.
Best buyer
Sales development and outbound teams
Main outcome
Zembl drives 30% more customer conversions with 24/7 AI sales coverage and 60% faster average call time (website-extracted)
Commission
To be confirmed
Best channels
Content Marketing, SEO Content, Email Outreach To Relevant Business Audiences, Partner And Consulting Referrals
Terms
Founder confirmation required before promotion.
Main pitch
Relevance AI is the enterprise platform where your domain experts — not engineers — build, govern, and scale AI agents that run your go-to-market playbooks. Describe what you...
Economics
Partner terms
Commission, pricing model, and review timing for this listing.
Commercial terms
Partner terms
Founder confirmation required before partners promote this listing.
- Commission
- To be confirmed
- Pricing
- Subscription
- Duration
- —
- Review period
- 30 days
Pricing tiers
Free trial
PrimaryCustom/ month
Tracks Trial Signup
- Try the platform for free
- Build agents with Invent and the no-code builder
- Access to integrations
Enterprise
Custom/ month
Tracks Contact Sales
- Enterprise-grade security and governance
- SOC 2 Type II, SSO/SCIM, RBAC, audit logs
- Flexible cloud-hosted or dedicated deployment
- Custom API and MCP connections
- Pricing via contact sales; not extracted
Who this converts for
The buyers this offer is shaped for. Match your reach to the strongest audience fit.
Sales development and outbound teams
Sales development and outbound leaders who need always-on prospecting, qualification, and follow-up coverage for accounts their team cannot reach manually.
Pain points
- Reps research and personalize one lead at a time
- Tier 4-5 accounts go untouched
- Inbound leads wait hours for a response
Desired outcomes
- Qualify and contact new leads automatically
- Increase meetings per rep
- Respond to inbound leads in seconds
Customer success and lifecycle teams
Customer success and lifecycle leaders running retention, expansion, QBR prep, and churn-risk plays continuously across the install base.
Pain points
- Churn risk surfaces too late
- Handoffs from sales to CS drop context
- QBR prep is manual and inconsistent
Desired outcomes
- Catch at-risk accounts before forecast calls
- Automate handoff summaries and onboarding triggers
- Generate QBR materials and surface expansion signals
GTM and revenue leaders who own pipeline and revenue targets
Build and operate a governed AI workforce that executes go-to-market playbooks autonomously while keeping humans in control of quality and high-stakes decisions.
Pain points
- Stuck at assisted or copilot-level AI with no path to autonomy
- Dozens of GTM plays but point solutions solve only one each
- Execution capacity capped by headcount
- Autonomous automation is hard to govern and audit
- Tool sprawl and vendor lock-in
Desired outcomes
- Move plays from human-led to autonomous with governance
- Compound multiple agents into pipeline and revenue
- Consolidate point tools into one horizontal platform
- Pass enterprise security review
- Free reps to focus on high-trust customer moments
Enterprise IT and security buyers
IT and infosec leaders who must approve autonomous agent deployments and require governance, auditability, and compliance before sign-off.
Pain points
- Autonomous agents are hard to govern
- Need clear path from POC to enterprise rollout
- Must clear security review before deployment
Desired outcomes
- Granular access controls for teams and agents
- Full audit logs and version control
- Compliant, region-flexible deployment
GTM and revenue leaders
Heads of revenue, RevOps, and GTM strategy who own pipeline and revenue targets and need to scale execution across many plays without adding headcount or point tools.
Pain points
- Promised agentic ROI to the board but stuck at assisted or copilot-level AI
- GTM motion has dozens of plays and point solutions only solve one each
- Execution capacity is capped by headcount
Desired outcomes
- Move plays from human-led to autonomous with governance
- Compound multiple agents into pipeline and revenue
- Replace tool sprawl with one horizontal platform
Mid-market to enterprise GTM and operations teams that want one governed multi-agent platform across sales
Build and operate a governed AI workforce that executes go-to-market playbooks autonomously while keeping humans in control of quality and high-stakes decisions.
Why partners convert here
When to pitch this, and the outcomes the buyer actually gets.
Use cases
- Autonomous outbound prospecting
- Autonomous outbound prospecting
- Inbound lead qualification and engagement
- Inbound lead qualification and engagement
- Customer success: churn, expansion, and QBR plays
- Customer success: churn, expansion, and QBR plays
- Governed enterprise AI workforce across functions
- Governed enterprise AI workforce across functions
Outcomes
Zembl drives 30% more customer conversions with 24/7 AI sales coverage and 60% faster average call time (website-extracted)
Move plays from human-led to autonomous with governance
Compound multiple agents into pipeline and revenue
Consolidate point tools into one horizontal platform
Pass enterprise security review
Free reps to focus on high-trust customer moments
Qualified: $7M pipeline with 35+ agents
EvidenceSend Payments: 40 hours saved weekly
EvidenceZembl: 30% more customer conversions
EvidenceTrusted by teams at KPMG, Canva, Autodesk, and Qualified
EvidenceEnterprise security and governance
Evidence100+ integrations plus custom API and MCP
EvidenceQualified generated $7M pipeline in 6 months with 35+ AI agents (website-extracted)
Send Payments saves 40 hours weekly going AI-first (website-extracted)
SOC 2 Type II, SSO/SCIM, RBAC, audit logs, encryption, data residency (website-extracted)
Before · After
Autonomous outbound prospecting
Before
Reps research and personalize one lead at a time and Tier 4-5 accounts go untouched.
After
Agents qualify and contact new leads automatically and run outbound around the clock.
Expected outcome: More meetings per rep and broader account coverage.
What makes this different
Where this offer beats the alternatives.
Domain experts build and manage agents, not engineers
Maturity path from assisted AI to full autonomy
Evals enforce quality thresholds before deployment
Governance at every layer: RBAC, audit logs, approval gates, version control
Horizontal, vendor-agnostic platform with 100+ integrations and MCP
Promotion strategy
Partner playbook
Angles, questions, objections, and inputs to keep outreach sharp.
Value proposition
The enterprise platform where your domain experts build, govern, and scale AI agents that run your go-to-market playbooks.
How to pitch
Relevance AI is the enterprise platform where your domain experts — not engineers — build, govern, and scale AI agents that run your go-to-market playbooks. Describe what you want in plain language and the platform builds the agents, tools, and evals; refine in a no-code builder or via MCP. Evals, approval gates, audit logs, and live monitoring keep every agent accountable as you move from assisted AI to full autonomy. Teams like Qualified, Send Payments, and Zembl report material pipeline, time-savings, and conversion gains, and it is built to clear enterprise security review with SOC 2 Type II, SSO/SAML, RBAC, and flexible deployment.
Positioning
Not another single-play point solution — one governed horizontal platform that turns AI agents into a managed, accountable workforce across sales, marketing, customer success, and operations.
Best angles to test
- Board-level agentic ROI: move from copilot to autonomous
- Consolidate GTM point tools into one governed platform
- Always-on SDR coverage for accounts reps can't touch
- Clear the enterprise security review with governance built in
- Domain experts, not engineers, own the agents
- Enterprise platform for building and governing AI agents
- Domain experts build agents with Invent, no-code builder, or MCP
- Governance via Evals, approval gates, audit logs, RBAC, and live monitoring
- SOC 2 Type II, SSO/SAML, encryption, and flexible deployment
- 100+ integrations plus custom API and MCP
Angles to avoid
- Do not claim guaranteed revenue or pipeline
- Do not claim results are typical
- Do not claim an official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not present website-extracted customer outcomes as comstein-verified
Discovery questions
- Where is your AI maturity today — assisted, copilot, or autonomous?
- How many GTM plays are you running and on how many point tools?
- What is capping your execution capacity?
- What does your security team require before approving agents?
- Who owns agent quality and governance internally?
Disqualifiers
- Small teams needing a single narrow automation with no governance requirements
- or teams unwilling to put human oversight on autonomous agents.
Target keywords
Objections & responses
“Autonomous agents feel risky and hard to govern.”
Response: Relevance AI is built around governance: Evals enforce quality thresholds, human-in-the-loop approval gates require sign-off on high-stakes actions, audit logs capture every action and decision, version control allows instant rollback, and live monitoring shows every task, cost, and escalation in one place.
“We don't have engineers to build and maintain agents.”
Response: Domain experts build agents by describing what they want in plain language with Invent, which generates the agents, tools, and evals, or by refining them in a no-code drag-and-drop builder. GTM engineers can also build programmatically via MCP, but it is not required.
“We're worried about vendor lock-in and tool sprawl.”
Response: Relevance positions as a horizontal, vendor-agnostic platform that consolidates point solutions: agents across sales, marketing, CS, and ops share context and hand off work on one platform, with 100+ integrations plus custom API and MCP connections.
“Will it clear our enterprise security review?”
Response: The platform provides SOC 2 Type II, SSO and SCIM (SAML, OIDC), granular role-based access, full audit logs, AES-256 at rest and TLS 1.3 in transit, GDPR compliance with data residency options, and cloud-hosted or dedicated deployment.
Rules
Promotion rules
Where you can promote, what is restricted, and what the founder requires.
Allowed channels
Restricted channels
- AI-generated content
- Yes
- Content reuse
- No
- Founder approval
- Yes
Approved claims
- Enterprise platform for building and governing AI agents
- Domain experts build agents with Invent, no-code builder, or MCP
- Governance via Evals, approval gates, audit logs, RBAC, and live monitoring
- SOC 2 Type II, SSO/SAML, encryption, and flexible deployment
- 100+ integrations plus custom API and MCP
Claims to avoid
- Do not claim guaranteed revenue or pipeline
- Do not claim results are typical
- Do not claim an official partnership before founder approval
- Do not claim Stripe-verified payouts
- Do not claim managed checkout is ready
- Do not present website-extracted customer outcomes as comstein-verified
Evidence
Proof & trust signals
Claims, evidence links, and operational trust signals partners can lean on.
Proof points
- Zembl drives 30% more customer conversions with 24/7 AI sales coverage and 60% faster average call time (website-extracted)
- Move plays from human-led to autonomous with governance
- Compound multiple agents into pipeline and revenue
- Consolidate point tools into one horizontal platform
- Pass enterprise security review
- Free reps to focus on high-trust customer moments
- Pipeline generated: 7 USD million
- Hours saved per week: 40 hours/week
- Customer conversion increase: 30 percent
- Qualified: $7M pipeline with 35+ agents
- Send Payments: 40 hours saved weekly
- Zembl: 30% more customer conversions
- Trusted by teams at KPMG, Canva, Autodesk, and Qualified
- Enterprise security and governance
- 100+ integrations plus custom API and MCP
- Qualified generated $7M pipeline in 6 months with 35+ AI agents (website-extracted)
- Send Payments saves 40 hours weekly going AI-first (website-extracted)
- SOC 2 Type II, SSO/SCIM, RBAC, audit logs, encryption, data residency (website-extracted)
Proof links
- Relevance AI brand image
The enterprise platform for agents you can trust at scale.
- AI workforce builder
Build agents in plain language with Invent or refine them in the no-code builder.
- Relevance AI logo
Relevance AI primary logo.
About Relevance AI
Relevance AI lets domain experts build and manage AI agents that execute go-to-market playbooks autonomously, with enterprise-grade governance — Evals, approval gates, audit logs, and live monitoring — keeping every agent accountable. Teams build agents in plain language with Invent, refine them in a no-code builder, or extend them programmatically via MCP, then scale from assisted AI to full autonomy across sales, marketing, customer success, operations, and support. Built for GTM and high-growth teams that need control as well as speed, with SOC 2 Type II, SSO/SAML, RBAC, encryption, and flexible deployment.
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