Chiri provides AI implementation and agent development services. We train your engineers or embed a Forward Deployed Pod. Your team builds governed agentic systems, and the new capability stays inside your company.
Teams that adopt AI tools without a practice behind them stall. Agentic engineering means building, validating, and operating systems of agents on a governed foundation. It is a new discipline, and most teams have never had to do it before.
Buying more tools does not install the discipline. A skilled specialist should stay a specialist in the business. They should use the new capability, not be told to become a platform engineer overnight.
Without best practices, the work is slow, hard to maintain, and hard to trust.
The pod pairs an operator with engineers sized to the engagement. The operator is a business subject-matter expert who also acts as your technical project manager. The operator closes a common AI delivery gap. Engineers can miss business needs. Business teams can give unclear technical requirements. Chiri leads product engineering and service delivery together, as one discipline, not two handoffs. Inside that pod, you choose one of two engagement shapes.
A business subject expert also manages the technical project. Engineers support the engagement. This team structure supports every engagement.
We teach your engineers best-practice agentic engineering: how to build, validate, and operate systems of agents on a governed foundation. The discipline lives with them, in your codebase, on your team.
Chiri's operator and engineers work alongside your team, install the patterns in place, and hand them over. It is a repeatable model of delivery, not a one-off engagement.
Chiri checks agent-generated code for correctness and maintainability as output grows. This process helps your team trust and own delivered code.
Every change your pod delivers uses the same build, validate, deploy, and monitor loop. People set the intent and decide at every checkpoint. Code validation supports correctness and maintainability as output grows. It does not provide a simple approval. As the pod delivers more, this loop keeps quality from eroding. It checks agentic-generated code the same way at change one thousand as it did at change one.
Delivery runs with real-time visibility through Waypoint. You see the work in real time. You see shipped, validated, and queued work. See how Waypoint works on the Chiri Brain page →
Beyond installing the practice, the pod can build a custom application on Chiri's platform. The platform includes immutable logs, roles and permissions, AI model access, and approximately 2,000 integrations. This platform can combine several separate tools. Your team logs into every day, into one governed application. AI is woven into the workstreams, scoped to the functions found during the SOW (statement of work) intake.
Teams often rebuild three controls for each internal tool. These controls cover permissions, audit records, and safe model access. Chiri starts with all three controls. Chiri already governs and audits them. The pod focuses on the workflow. It does not rebuild access control for each internal tool.
An example of what is possible, not a promise for every engagement.
Your existing people do more of the work that needs them. The repetitive work comes off their plates, and capacity moves to higher-value work. The specialist becomes a better specialist. Take someone who used to spend a third of their week on manual intake, reconciliation, or status chasing. That time now goes to the judgment calls only they can make.
Chiri trains your team or embeds engineers. Chiri does not provide an opaque system. The practice stays with your team after Chiri steps back. Your people own lasting improvements. Your team combines its human and digital workforces. Mat's people-operations background shapes this approach from the start. Chiri does not add it later.
We do not frame this as fewer people or a smaller team. It is the same team, doing more of the work that actually needed a person in the first place.
The Ontology grounds your agentic systems. The AI Harness & Governance governs them. Chiri builds both solutions, and you own them. Those solutions get smarter over time for you as your own data and processes evolve. That means the lift compounds inside your own environment.
Better grounding and better governance mean better agents, and those agents stay yours. As the Chiri network grows, you inherit shared security and hardening improvements. Your own data, processes, and edge stay isolated and yours.
A forward-deployed pod includes one business expert and supporting engineers. The expert also manages the technical project.
One discipline leads product engineering and service delivery together, not two handoffs.
Two engagement shapes inside the pod. You choose: train your team, or embed the pod.
A repeatable pod model of delivery, not a one-off engagement.
As an example, the pod can combine several separate tools into one governed application.
Code validation supports correctness and maintainability as volume grows.
Real-time delivery visibility through Waypoint.
Best-practice agentic engineering patterns installed inside your team.
The practice stays with your people after Chiri steps back.
People-first lift: more capacity for higher-value work, specialists getting better at their craft. Never headcount reduction.
Grounded and governed by the Ontology and AI Harness & Governance solutions you own.
Tell us where your team is and what is stalling. We will explain how Chiri approaches lift, through training or an embedded pod, then offer time to talk it through.