LIVE · FOOTPRINT PROTOTYPE · RECONSTRUCT

AI ACTION ASSURANCE

SEE WHAT YOUR AI
ACTUALLY DID.

Your AI stack already has traces, identities, tools and business records. Forkit connects those fragments into one defensible Action record — showing what is direct, supported, inferred, conflicting or missing.

ONE CORE OBJECT ACTION who · authority · agent · model · identity · tools · systems · evidence · result · confidence
DIRECT SUPPORTED INFERRED CONFLICTING MISSING

INTERACTIVE ACTION RECONSTRUCTION

Same Action model.
Different scale.

SIMULATED
ACTION RECORDDeveloper action
PARTIAL

ONE MODEL, THREE LEVELS

Start local. Expand only when the action crosses systems.

LIVE

01

Forkit Footprint

Free, local-first AI activity evidence for Apple Silicon macOS. Metadata stays local by default.

Explore Footprint →
PLANNED

02

Forkit Team

Shared Action visibility for engineering teams without turning private developer content into central telemetry.

PROTOTYPE

03

Forkit Enterprise

Cross-system Action Assurance for consequential workflows: authority, identity, tools, business systems and outcomes.

See Action Assurance →

WHY TRACES ARE NOT ENOUGH

The evidence already exists. It just lives in different systems.

AGENT TRACEWhat the agent says it attempted.

Useful context, but not authoritative proof of identity, permission or downstream effect.

IAM / IDENTITYWho or what had authority.

Shows credentials and permissions, but not necessarily which business action those permissions produced.

TOOL / MCP / APIWhat crossed an execution boundary.

Shows requests and responses, but may not prove the final system-of-record change.

BUSINESS SYSTEMWhat actually changed.

ERP, CRM or cloud audit records prove effects, but often lose the original human/agent decision chain.

Forkit reconciles the fragments→ ONE ACTION RECORD

FOR DEVELOPERS

See AI activity without shipping your prompts to another dashboard.

Start with local process/runtime evidence, supported AI tools and local models. Move toward Action reconstruction only when enough source evidence exists.

Open developer product →

FOR ENTERPRISE TEAMS

Investigate consequential AI actions across systems.

Procurement, finance and customer operations are where missing authority or conflicting evidence becomes a control problem—not just an observability problem.

Open enterprise story →

THE 30-MINUTE TEST

Given one transaction ID, can you prove the action end-to-end?