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SERVICE

Custom AI Agents

Deploy the brain, not just a chatbot. Multi-step orchestration, integrations to your real systems, and a knowledge base that lives where your data does — cloud, fully local, or hybrid.

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  • Orchestration

    Multi-step agents that plan, call tools, evaluate results, and recover. Real work, not just answers.

  • Integrations

    First-class connectors to CRM, ERP, email, helpdesk, databases, and internal services — authenticated, audit-logged, idempotent.

  • Deployment

    Cloud (Claude, GPT, Gemini), fully local (Llama, Mistral, Qwen), or hybrid. Your data path, your sovereignty.

  • Improvement

    Conversation memory, knowledge-base updates, fine-tuning on real interaction data, prompt optimization tied to performance analytics.

Orchestration & integrations — the brain, not just chat

Our team has built multi-step agents that plan, call tools, evaluate intermediate results, and recover from tool-side failures. They access your CRM, ERP, email, and databases, and execute real tasks against them — return processing in customer support, regulatory-library search in compliance, purchase-order generation in operations. Tool definitions are typed; calls are idempotent; the agent's reasoning trace is captured as an audit artifact, not a debug log; and guardrails scope the agent's authority to what your policy allows.

Cloud, on-premise, hybrid — and agents that improve

Agents are engineered to deploy where the data lives. Cloud-only flows run on the major frontier models (Claude, GPT, Gemini). Fully local deployments target open-weight models (Llama, Mistral, Qwen) on customer hardware — for clients who can't send their data to a frontier provider. Hybrid topologies route per-request based on data sensitivity. And once deployed, agents improve: conversation memory, knowledge-base updates, periodic fine-tuning on real interaction data, and prompt optimization tied to performance analytics.

Where this capability lives.

Our team has engineered AI agents that orchestrate multi-step work — return processing, regulatory-library search, purchase-order generation, and the rest of the back-office grain — across CRMs, document stores, and internal APIs. Every agent we ship carries its trace, its rationale, and its guardrails — not just its output.

How we engage.

We start with a 30-minute scoping call. Within 2 weeks you have a senior team scoped, sized, and starting. Standard engagements run 3 months minimum. Three engagement models: project (fixed scope, fixed fee), dedicated team (a senior squad on your roadmap), or staff augmentation (named senior engineers embedded in your delivery). The senior bar applies to all three.

Engineer an AI agent that does the work — not just answers about it.

Tell us what you'd like an agent to take off your plate — return processing in customer support, regulatory-library search in compliance, purchase-order generation in operations, or whatever the back-office grain in your business looks like.

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