Layer / 01
Identify
Identify the workflows where agents can move business metrics.
We work with leadership to map workflows, quantify the business case, and prioritize where AI will move metrics first.
GNTC embeds Forward-Deployed Engineers with your team to redesign workflows, deploy production agents on EntryDesk, and build the operating model to scale them safely.
Most AI pilots do not fail because the model is weak. They fail because the agent was never connected to the real workflow, the data was never production-ready, the approval path was unclear, and no one owned the system after launch.
The hard part is not the model. It is changing the work around it.
GNTC turns AI ambition into production workflows — integrated, governed, observed, and adopted by the teams who run the business.
We help enterprises move from isolated AI experiments to AI-native operations across six layers — each one a move your team makes, not a deliverable you wait for.
Layer / 01
Identify the workflows where agents can move business metrics.
We work with leadership to map workflows, quantify the business case, and prioritize where AI will move metrics first.
Layer / 02
Define how humans, agents, and systems work together.
We redesign how people, agents, and approvals fit together — so the new operating model is clear before any system gets built.
Layer / 03
Connect agents to the right knowledge, tools, and permissions.
We design the knowledge, integration, and access foundations agents need to act on the right data without expanding your risk surface.
Layer / 04
Ship agents on EntryDesk against real systems and real users.
Forward-Deployed Engineers build, integrate, and ship the production agent on EntryDesk — against the real systems your team uses every day.
Layer / 05
Monitor quality, risk, cost, and compliance after launch.
We operationalize the controls, evaluations, and monitoring that keep production agents accountable to your business, IT, and compliance teams.
Layer / 06
Train your internal owners to operate and scale the agent pipeline.
We train your internal owners to run the live system and stand up a repeatable pipeline to ship the next ten agents.
An AI-native company runs on four pillars working as one: the staff who own the work, the agents who do it, the integration that connects them, and the governance that keeps it accountable. We help you build all four.
Staff
Your people — the roles they own, the scenarios they run, and where agents create leverage.
Agent
Production agents doing real work inside the systems your team already uses.
Integration
The knowledge, data, and tools agents need to act — without losing control.
Governance
The boundaries, evaluations, and audit trail that keep agents accountable.
Staff
Your people — the roles they own, the scenarios they run, and where agents create leverage.
Agent
Production agents doing real work inside the systems your team already uses.
Integration
The knowledge, data, and tools agents need to act — without losing control.
Governance
The boundaries, evaluations, and audit trail that keep agents accountable.
Staff
Understand how your people actually work — and where agents create leverage.
Includes
Best for
Enterprises that want to understand where agents fit alongside their people before building.
Agent
Turn a high-value workflow into a production agent.
Includes
Best for
Teams with a clear workflow that needs to become AI-native.
Integration
Give agents the context and access they need — without losing control.
Includes
Best for
Enterprises whose data and systems are too fragmented for reliable AI deployment.
Governance
Keep agents safe, measurable, and improving after launch.
Includes
Best for
Enterprises that want to move from one AI pilot to many production agents.
GNTC's Forward-Deployed Engineers embed with your operators, IT, security, and domain experts to build agents where the work actually happens.
Frameworks do not transform companies. Production systems do.
Our FDEs do not stop at strategy. They design the agentic workflow, integrate it with your systems, stand up the evaluations and controls, and ship the production agent on EntryDesk.
FDEs sit with operators, IT, security, and domain experts to understand how work actually happens. The result is not a generic automation — it is an agentic workflow shaped around your systems, policies, and people.
"Done" means the agent is live, integrated, observed, governed, and adopted. We stay until business metrics move and your internal owners can operate the system.
If you've bought consulting before and ended up with a report instead of a result — that's the model we replace.
Two fixed four-week sprints take you from workflow map to a live production agent. Scale then runs for as long as you keep shipping.
4 weeks
FDEs sit with your teams to map workflows, score value, and align on the first production target.
You get
4 weeks
FDEs design, build, and ship the agent — on EntryDesk, integrated with your existing stack and governed from day one.
You get
Ongoing
FDEs hand off ownership to your internal admin and operators, and stay on call as you extend the pipeline to new workflows.
You get
We didn't write a whitepaper about agentic enterprise. We became one. Then we built the company that helps yours do the same.
The result is an agentic workflow that is not only powerful, but observable, governable, and accountable.
You don't need another AI strategy deck.
And a repeatable way to scale the next ten.
Talk to us