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 (FDE) 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.
Even when a pilot succeeds, decision-makers are left with three very practical worries: spending heavily on AI without the business results to show for it; shipping core data and workflows into external services — paying to make someone else's product smarter; and getting locked into a single model vendor who can reprice, change, or sunset the service at any time.
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.
This layer controls your agents' data permissions, action logic, and audit trail. We believe it should never be a black box you rent — it is a core asset your enterprise must fully own.
EntryDesk is model-agnostic — swap Claude, GPT, or Gemini in and out anytime. Your enterprise brain should never be locked into a single vendor's ecosystem.
A unified API gateway, fine-grained tiered permissions, and complete audit logs. We support private-cloud and on-premise deployment, keeping every data flow controlled inside your security boundary.
Capability transfer is the last mile of every engagement. FDEs make sure your internal team can operate and extend new agents on their own. What we leave behind is not just a system — it is a repeatable, enterprise-grade AI methodology.
We help enterprises move from isolated AI experiments to agent-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 observable and auditable for 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.
Agent-native transformation stands on four cornerstones: the team that drives it, the agents that do the work, the integration that ties your systems together, and the security governance that keeps it compliant and under control. No more fragmented patchwork — GNTC builds the whole operating layer for you.
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 in check.
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 in check.
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 agent-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
A production-grade enterprise agent must meet these core conditions:
Wired directly into the core systems and workflows your team relies on every day.
Every judgment and output is strictly grounded in your company's approved internal knowledge.
Quality, cost, latency, and risk are tracked and tuned continuously.
Permissions, approval paths, and audit logs keep every action transparent and under control.
Not a demo toy — an agent that folds into and lightens the front line's daily work.
No vanity metrics. Success is measured by the business value actually moved.
We didn't write a whitepaper about agentic enterprise. We became one. Then we built GNTC to help yours do the same.
The result is an agentic workflow that is not only powerful, but observable, governable, and auditable.
ChatGPT answers questions; agents do the work. Agents on EntryDesk connect to your internal data, systems, and permissions to run an entire workflow end to end — and every action is logged and auditable. That's something a general-purpose chat tool can't do.
Two four-week sprints: four weeks to discover, four weeks to build. By week eight, you have your first agent in production.
A single four-week Discover sprint. You come out of it with a prioritized workflow inventory and an ROI estimate — and you decide whether to go further.
We scope pricing around the scenario you want to deploy, pairing the right mix of services and products, with the PoC landing your first scenario. The first consultation is free. Tell us your situation when you reach out and we'll walk you through the full pricing.
No. EntryDesk is model-agnostic — Claude, GPT, and Gemini all plug in and swap out anytime; the model is a replaceable component. Your workflows and permissions stay in an environment you control, with private-cloud and on-prem deployment supported. Capability transfer is a fixed part of every engagement — the goal is for your own team to operate this layer.
START HERE
And a repeatable way to scale the next ten: FDEs embed with your team, ship the first one with you, then scale it together.