Good fit
- Your team already repeats the workflow by hand.
- The work crosses tools, evidence, approvals, or customer context.
- A responsible operator can review whether the agent helped.
About Navigic
Agent workflows, built beside operators.
Navigic is a founder-led FDE, agent, and AI consulting studio. We help teams find repeated operations work, pilot agent assistance, and keep human review visible while the workflow matures.
ObserveMapPilotReview
Ships for the human mindAutomation is useful only after the work is understood.The name is metaphorical. Navigic is not software for maps, directions, or physical routes. It is a company building practical AI workflows for knowledge-heavy work, delegated action, memory, and review.
Fit
Start when the repeated work is already visible.
The fastest path to useful agents is not a broad transformation deck. It is choosing a real workflow, watching how a human operator completes it, and deciding which parts can be delegated without losing judgment, trust, or accountability.
Not yet
- The workflow is still a one-off strategy question.
- You need unsupervised decisions in regulated or high-impact work.
- There is no owner willing to inspect failures and improve the loop.
Principles
What should stay true as work becomes more agentic.
Work before automation
A workflow should be visible as repeated human work before it becomes an agent workflow. Otherwise the system is optimizing a guess.
Operators stay in authority
Agents can gather context, draft actions, and call tools, but the responsible human should understand the boundary and retain approval where risk exists.
Evidence beats theater
A useful pilot should show the source evidence, tool calls, review decisions, and failure cases instead of hiding behind a polished demo.
Reuse what already works
FDE work should connect to the customer's existing tools and habits before asking a team to adopt a new operating system.
Current focus
FDE work for supervised agent systems.
- FDE workflow discovery
Map repeated operator work, trust boundaries, and the first useful automation wedge
- Agent implementation
Build narrow pilots with tool use, review, logs, and human approval where needed
- Managed iteration
Improve the workflow from real operator feedback instead of assuming the first prompt is the product