Resynapse helps companies deploy practical AI agents by fixing the workflows, fragmented knowledge, and system handoffs those agents depend on. Led by Jovi De Croock, the work is built for teams dealing with legacy systems, undocumented process, and a business that still has to keep running while modernization happens.
One workflow. One pilot. Clear operational value.
Resynapse is Jovi De Croock’s consulting practice. Jovi is known for deep technical work across frontend architecture, developer tooling, and product implementation, including as a Preact core maintainer. Companies bring me in when they need someone who can bridge architecture, tooling, workflow design, and practical delivery without hiding behind a large consulting team.
The work usually starts where agent projects get stuck: fragmented knowledge, brittle systems, undocumented process, and operational handoffs nobody has written down. The job is to make that environment usable enough for one real workflow to work.
Not a chatbot shop. Not a strategy deck. Not a giant systems integrator.
Leadership wants practical gains. Teams are working inside legacy systems, fragmented knowledge, and brittle handoffs. If that operating layer stays messy, agents stay stuck at demo stage.
A practical path from interest to measurable operational improvement.
This is the operational reality most agent projects inherit.
Resynapse helps teams clean up that layer first so one real workflow can become agent-ready and usable in production.
Usually not because the model is weak. Because the operating environment was never made ready for production use.
You do not need a broad initiative to begin. You need a sensible first engagement, a real workflow, and a clear reason to buy.
Find the blockers before you fund another pilot. We assess one or two candidate workflows, map the operational reality, and recommend the best place to start.
Pick one high-friction workflow. We redesign it around real use, structure the knowledge it depends on, and ship a measured pilot your team can actually try in practice.
Stay close to the work while your team builds. Founder-led advisory for companies rolling out agents across workflows or inside product experiences.
The fastest way to waste time is to launch a shiny pilot into an environment that was never ready for it. The process below keeps the work grounded.
We start with a process that is painful enough to matter, bounded enough to improve, and owned by people who can support a real pilot.
Not the ideal version. The real one: systems, handoffs, workarounds, missing inputs, exceptions, and the tribal knowledge sitting behind each step.
We clean up the inputs, define the boundaries, structure the knowledge, and identify the integrations and human handoffs the workflow needs.
The goal is practical use, not a polished demo. We test the workflow with the people who own it and measure whether it reduces friction in practice.
Once one workflow works, you can scale from evidence instead of enthusiasm. The next move becomes much clearer after a live pilot succeeds.
Much of the work is confidential, so proof is shown as anonymized engagement summaries. The pattern is consistent: take one messy, high-friction workflow and make it usable enough to ship.
Critical answers were spread across docs, Slack threads, issue history, and a few senior engineers who were constantly interrupted.
Mapped the request flow, identified the real escalation paths, and designed an agent-assisted workflow around the team’s existing tools and review points.
Work was being routed through inboxes, spreadsheets, and internal tools, which made prioritization slow and handoffs inconsistent.
Redesigned the intake flow, clarified the exception logic, and introduced agent support where it reduced manual triage instead of adding more noise.
The product team wanted an in-app agent, but the risk was shipping a gimmick without a clear job to be done or safe workflow boundaries.
Defined the right product workflow, set UX and operational boundaries, and shaped a pilot the team could ship, measure, and improve.
Typical engagement ingredients
Clear answers, so you can tell quickly whether there is a fit.
No. The useful work often starts before the agent itself: mapping the workflow, capturing hidden knowledge, clarifying system boundaries, and designing the handoffs that make automation safe and practical.
Yes. That is the normal starting point. The goal is not to wait for a perfect environment. It is to find one workflow where the mess can be understood, bounded, and improved without disrupting the business.
Yes. Most engagements work with the systems already in place: internal tools, ticketing platforms, docs, spreadsheets, product surfaces, and the awkward handoffs between them.
Yes. That is the preferred path. One painful, owned, measurable workflow gives you a practical first win and a better basis for deciding what to scale next.
Yes. Resynapse is hands-on. Depending on the engagement, that can include workflow mapping, architecture, knowledge structuring, integration planning, pilot design, implementation support, and rollout guidance.
By treating rollout as part of the delivery. The people doing the work need clear boundaries, exception paths, fallback options, and enough involvement in the pilot to trust what is being shipped.
That is common. We pull knowledge from operators, documents, tickets, chat history, and the real decisions made inside the workflow. The goal is not a giant documentation exercise. It is usable operational memory.
No. The goal is to strengthen internal teams and help them move with more confidence. You work directly with Jovi as a senior implementation partner, not with a layered consulting team.
Usually an Agent Readiness Audit or a Workflow Pilot Sprint. We pick one workflow, map the current reality, identify the blockers, define success, and build the right next step from there.
No. The best fit is any software-enabled business with meaningful operational complexity. Mid-market, enterprise, and founder-led teams can all be a fit if the workflow pain is real and there is an owner who wants to fix it.
If AI is already on the agenda but you do not want another vague pilot, start with a painful workflow, a clear owner, and a senior partner who can help you ship something useful.
Good fit: CTOs, VP Engineering, operations leaders, founders, and staff+ technical owners dealing with real operational complexity.