We design, build and run AI agents that plan the steps, use your systems through approved tools and hand off to a person when a decision needs one. Every agent is scoped to your process and runs in your own cloud.
Most AI pilots stall because a model that answers well in a demo is only one part of what it takes to do real work. A production agent needs to know what it is allowed to do, reach the right data, call your systems safely, remember what matters and stop when a person should decide. That is an engineering problem, and it is the one we work on.
We design and build agents around a specific piece of work in your business. The orchestrator plans the task and routes each step to the right model. Retrieval grounds the agent in your policies, catalogue and history. Tool integrations give it scoped access to the systems it needs. Memory is designed with your data retention rules. Guardrails set limits on spend and actions, and approval gates put a person in charge of the decisions that carry real risk.
Around all of that sits the part most teams underestimate: evaluation and observability. Before launch, the agent is tested against cases your team agrees are representative. After launch, you can see why it did what it did, what it cost and where it handed off.
Not every process should become an agent. We start by looking at volume, rules, exceptions and the cost of a mistake. Where the work is repetitive, rule based and well documented, an agent can take most of it. Where judgement dominates, the better answer is often an assistant that prepares the decision for a person. We will tell you which is which before anything is built.
Agents run inside your own cloud tenancy, in the region you choose, with your security team involved from the first design review. Your data is not used to train shared models, and everything we build is yours to keep, operate or hand to another team.
Refunds, order changes and account requests resolved end to end, with the cases that need judgement routed to the right person.
Claims, onboarding, KYC and invoice processing where an agent reads, checks against policy and prepares the decision.
Reconciliations, vendor checks and purchase approvals that follow your rules and leave a complete audit trail.
Access requests, triage and routine fixes handled through your existing ticketing tools, with escalation when needed.
Research, CRM updates and follow ups prepared by an agent and approved by the account owner before anything is sent.
Late shipments, stock gaps and partner queries picked up early and worked through with the team that owns them.
We sit with the people who do the job today and map each task, the tools it touches, the permissions it needs and where a person must stay in the loop.
Orchestration, retrieval, tools, memory and guardrails are designed together, with the model chosen per task on quality, cost, latency and data residency.
We build against real cases and an evaluation suite agreed with you. The agent runs in shadow mode first, so you can compare its decisions with your team's.
Once live, we monitor quality, cost and escalations, and keep improving the agent as your process and your data change.
A chatbot answers questions. An agent completes tasks. It plans the steps, uses your systems through approved tools, checks its work and hands off to a person when a decision needs one. The outcome is work done, not just a reply.
Each agent gets only the tools and data it needs, with scoped credentials and action limits. High impact actions pass through an approval gate, every step is traced, and there is a kill switch your team controls.
We are model agnostic. We choose between commercial and open weight models per task, often mixing a fast model for routine steps with a stronger one where reasoning matters, and design the system so you can switch models later.
Yes. Agents connect to your ERP, CRM, ticketing and internal APIs through scoped tool integrations, including over MCP where that fits. Where a system has no API, we build the integration it needs.
It depends on the process, the systems involved and how much of the data is ready. We agree scope, timeline and cost with you after a discovery conversation, and we show working software at regular demos throughout.
Yes. The code, prompts, evaluation sets and documentation live in your repositories and run in your cloud. Your team can operate them, or we can keep running them for you.
Tell us what you are trying to fix. A senior member of the team replies within one business day.
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