Talking with early teams

Know why your AI agents
did what they did.

Provenance. Approval gates. Decision records.

Navetica is building evidence and decision infrastructure for teams that run AI agents in real work: where each answer came from, who approved each action, and a durable record of every decision, across every model and tool you use.

Talk with us

Vendor-neutral

Append-only

Private first

The Platform

One decision trail
for every agent you run.

Agents draft, research, decide and act across many tools and vendors. Navetica captures the evidence, the approvals and the outcome of each decision in one place that people can actually read.

Evidence Capture

Keep what the agent read and relied on: documents, data and tool results, stored next to the answer it produced.

record.evidence[ ]

Provenance

Link every claim to its source, version and time, so a reviewer can follow it back and check it.

claim → source@version

Approval Gates

Actions that matter, like spending, sending or deploying, wait for explicit approval by a named person or written policy.

gate: policy | person

Decision Records

Append-only records of what was decided, by whom and on what evidence, where corrections are new entries rather than silent edits.

append-only · corrections as new entries

Audit & Review

Plain-language trails a manager, auditor or customer can follow months later, filtered by agent, action or approver.

who · what · why · when

Private by Default

Records stay in your scope, with access scoped by default. Navetica will not use customer data to train models; providers you connect follow their own policies.

scope: your workspace

Vendor-neutralAny model, agent or tool

Append-onlyCorrections as new entries

Tamper-evidentSigned records, in development

MCP-nativeAgent logging, in development

How it works

Connect. Gate. Keep the record.

Let agents work freely where it's safe, and put clear checkpoints where their actions leave the sandbox.

Connect your agents

Agents report what they read and what they plan to do, through an API or MCP, whatever model or vendor they run on.

Gate what matters

Payments, messages, deployments and data changes wait for a named approver or a written policy, checked outside the model.

Keep the record

Each decision becomes an append-only record with its evidence and approver, readable by people, not just engineers.

The Record

Every decision, written down once.

agent@workspace ~ %● EXAMPLE

The record format: the action, the evidence behind it and the gate it passed.

Record

Agent call

REC decision REC approval REC provenance

Example records. Field names may change as we learn from partners.

REC approval request Waiting at a gate

{ "gate_id": "gate_payments_07", "action": "pay vendor invoice", "amount": 240.00, "policy": "2 approvers over $200", "approvals": ["finance lead"], "status": "held", "reason": "second approver required" }

REC provenance Where a claim came from

{ "claim": "revenue grew 12% in Q3", "sources": [ { "ref": "report:q3", "version": "v3" }, { "ref": "ledger:2026-09", "read_at": "2026-10-02T14:05Z" } ], "path": ["retrieve", "compute", "summarize"], "checkable": true }

REC correction Fixes are new entries, never edits

{ "record_id": "dr_2026_10_15_0007", "corrects": "dr_2026_10_14_0042", "change": "client name misspelled in summary", "approved_by": "account lead", "original_kept": true }

Console

One console for people
who supervise agents.

See pending approvals, follow decision trails and review what each agent did, in one place. The short below is an early concept preview.

AI Guide

Your AI guide to Navetica.

A short walkthrough of what Navetica is building, from our AI guide. She's AI, not a real person. Tap for sound.

AI guide

Transcript: "Welcome to Navetica. AI agents are moving into production: touching live data, running code, and making decisions that matter."

Meet our AI guide

She's an AI character, not a real person. What she describes is in development with design partners.

navetica · record preview (illustrative)

agent ops-bot · action update customer records
evidence ticket-4471@v3 · policy data-changes

// three questions after every important action

✓ What did the agent decide? planned: signed record

✓ Who approved it, and what did they see? planned: approval proof

✓ Can you prove nothing changed? planned: hash chain

planned: risk signals (example: medium) advisory, never a gate

mcp: record · in development

Explore Navetica

How we think about trustworthy agents.

Read the principles we build on, or start with our notes on decision records, approval gates and provenance.

Approach /approach

Six principles for evidence, approvals and records.

Evidence before answers, approval at the boundary, records that last, vendor-neutral, private first and plain language.

Where control should sit in an agent workflow
Why records must be append-only
How customer data stays the customer's

principles governance privacy

Articles /articles

Practical notes for teams running agents today.

Short, practical pieces you can apply this week, with or without any platform.

Why AI agents need decision records
Approval gates: where humans should stay in the loop
Provenance: knowing where an agent's answer came from

decision records approvals provenance

Design Partners

Built with the teams who need it.

We're looking for a small group of teams that run agents in real work to shape Navetica with us. No pricing yet; we'd rather learn how you work first.

A conversation

Thirty minutes on how your team explains, approves and audits what its agents do today, and where it hurts.

A small pilot

Pick one workflow that matters. We map its evidence, gates and records together, privately, on your terms.

Shape the product

Design partners influence what we build first and get early access as it's ready.

Become a design partner

MCP Server

Works with your AI tools.

Navetica will plug in as an MCP server, so agents in your editor, chat or automation tools can record evidence, request approvals and check past decisions as they work.

Your Favorite IDE

AI Code Editor

Your AI Agent

Any LLM

Automation Tool

Any MCP

$ mcp: record · request_approval · lookup

Connect

One MCP server. Your existing tools.

Point your editor, agent or orchestration layer at Navetica. The same trail covers every tool.

one server · every agent