Workflow readiness audit
We map the repeated human work, the source systems, the decision owner, and the evidence needed before an agent should act.
Founder-led AI workflow consulting
Navigic works with operations teams to discover repeated manual work, build narrow agent pilots, and keep human judgment visible while automation matures.
Use public, synthetic, or anonymized examples to find a workflow worth piloting before sharing production access.
Services
The engagement is not a generic agent demo. It is a practical search for one workflow where human operators already spend time gathering context, making judgments, and repeating the same steps.
We map the repeated human work, the source systems, the decision owner, and the evidence needed before an agent should act.
We build a narrow pilot around one real workflow, with tool calls, logs, review points, and a clear rollback path.
We watch what fails, turn operator judgment into better prompts or product changes, and expand only when the workflow proves useful.
Method
Start with how work actually happens today: inboxes, spreadsheets, GitHub, Slack, CRM notes, approvals, exceptions, and handoffs.
Pick a workflow with enough repetition, enough evidence, and a human owner who can tell whether the result is useful.
Use the agent to collect context, draft actions, call approved tools, and expose reasoning without pretending every step is safe to automate.
Evaluate saved time, missed context, review burden, escalation quality, and whether the team would ask for the workflow again.
Next step
We will scope the sources, tools, review boundary, failure cases, and first useful pilot before deciding what should be automated.
FAQ
Navigic is a founder-led FDE, agent, and AI consulting studio. We work close to operators, find repeated workflows, and build supervised agent systems around real work.
The public website is now a service entrypoint. Existing software surfaces still exist, but a new buyer should start with a workflow interview instead of choosing a plan.
Bring one repeated workflow, the tools involved, an example input, the current human decision, and the mistake that would make automation unacceptable. No private credentials are required.
They usually help with context gathering, evidence checks, draft preparation, tool-call execution behind approval, and activity logs that make work reviewable.
We avoid broad AI transformation claims, unsupervised production changes, and automation ideas that have not first been proven as repeated human work.