Tektonic AI
Policy-governed AI agents for revenue operations that clean pipelines, generate forecasts and execute actions across the GTM stack.
Delv Safety Grade: C
Score 54/100 · assessed 2026-04-18
Tektonic AI is an enterprise autonomous agent for revenue operations with significant trust surface area. As a closed-source, enterprise-only product with no public repository, transparency is minimal. The maintainer appears to be a venture-backed startup rather than an established vendor, placing it in the mid-tier for organisational legitimacy. The permissions profile is concerning: autonomous write access to CRM systems, ability to execute actions across the GTM stack, and policy-driven automation that runs without human approval each time. Supply chain is opaque with enterprise-only distribution and no visible package management. No known security incidents, but the combination of broad write permissions, closed source code, and autonomous execution creates meaningful risk for organisations connecting their revenue data and customer records.
Green flags
- Enterprise pricing model suggests professional support and SLAs
- Policy-governed approach provides some guardrails on agent behaviour
- Focused on specific RevOps domain rather than general-purpose automation
- No known security incidents or credential leaks to date
Red flags
- Autonomous write access to CRM without per-action human approval
- Closed source with no public code review or security audit visibility
- Broad GTM stack integration implies access to customer and revenue data
- No public repository or transparent supply chain distribution
- Policy execution happens on schedule, not on-demand with oversight
Permissions requested
Pricing
Platforms
Review
Worth it for mid-market and enterprise sales teams with messy pipelines and overworked RevOps staff. Skip it if your CRM is already clean or if you're sub-50 deals per quarter. The autonomy pays off when there's enough chaos to automate away.
Good at
- Policy-driven autonomy means it runs without daily babysitting
- Cross-references CRM data with call transcripts from Gong or Chorus
- Generates forecasts segmented by deal attributes, not just totals
- Drafts contextual nudges to reps instead of generic reminders
- Integrates across the GTM stack (Salesforce, HubSpot, Outreach, etc.)
Watch out
- Enterprise pricing puts it out of reach for smaller teams
- Requires decent baseline data hygiene to be useful
- Forecasting models are solid but not statistically sophisticated
- Policy setup has a learning curve if you're not familiar with rule engines
- Limited value if your pipeline is already well-managed
Use cases
- pipeline hygiene
- forecasting
- RevOps automation