The immune system of trusted AI.
Become a Recon.AI design partner and help shape the future of TrustOps. We are selecting 3–5 companies building serious AI systems in legal, healthcare, and financial environments.
TrustOps at a glance
01
Agent Outputs
02
Reflex Score + GhostLog
03
TrustGraph Visibility
04
Recovery Loops
Recon.AI helps teams observe, score, and repair trust before silent failures become user, operational, or regulatory problems.
Focus
Reliability before scale
Program Size
3–5 design partners
Duration
12-week cohort
Why AI Needs an Immune System
Trust is not a prompt problem. It is an infrastructure problem.
Modern AI systems are powerful, but fragile. They hallucinate, drift from policies, misfire across tools, and degrade silently over time. Most teams try to solve this with better prompting. That helps, but it does not create operational trust.
Hallucination risk
Outputs sound confident even when underlying reasoning is unstable.
Policy drift
Agents slowly move outside the behavioral bounds you intended.
Tool misalignment
Multi-step systems fail across memory, tools, and action layers.
Invisible trust decay
Teams do not see failure patterns until users or regulators do.
The TrustOps Layer
What Recon.AI provides
Recon.AI introduces the operational trust layer for AI agents, giving teams visibility into reliability, drift, and recovery.
Reflex Score
Measure the reliability and consistency of agent outputs over time.
GhostLog
Capture behavioral traces that reveal where trust begins to decay.
TrustGraph
Visualize trust relationships, confidence shifts, and risk patterns.
Recovery Loops
Trigger repair paths when an agent drifts, fails, or loses alignment.
Design Partner Benefits
Co-create the trust layer with us.
This is not a beta list. Design partners work closely with Recon.AI to shape the product, pressure test the Trust Stack, and define the operating model for trustworthy AI systems.
Ideal Partner Profile
Who this program is for
Legal AI Ops
Teams building contract, compliance, and legal assistant systems where defensibility matters.
Healthcare AI Ops
Clinical, triage, and patient-support systems where reliability must be measured before action.
Financial AI Ops
Fintech and compliance environments where policy drift can become operational or regulatory risk.
Your company is a fit if you:
Program Structure
A focused 12-week design partner cohort
Each engagement is designed to pressure test your real AI workflows, surface trust signals, and generate a practical path toward reliability infrastructure.
Step 1
Kickoff and trust risk mapping
Step 2
SDK integration and instrumentation
Step 3
Monitoring, scoring, and GhostLog capture
Step 4
Review, insights, and case study readiness
Apply
Join the first TrustOps design partner cohort
Share a bit about your company and your AI system. We will use this to evaluate fit, trust sensitivity, and technical readiness.