AI Services & Agentic Workflows.
An accountable team that builds the agent — and the system that lets it run in your environment, on your data, under your controls.
What you get.
- 01 From use-case identification to a running agent in 30–90 days.
- 02 Models, evals, prompts, tools, and observability — all under version control.
- 03 Deployed inside your VPC, your tenant, or our managed environment — your call.
- 04 Knowledge transfer included: your team owns it after we leave.
How we deliver it.
Capabilities listed are the ones we ship under fixed scope. Custom work outside this list is welcomed — and scoped explicitly.
Use-case discovery
Two-week engagement to identify, score, and rank candidate workflows by value, risk, and feasibility — with engineers in the room, not just analysts.
Agent engineering
Multi-step agents on Claude, GPT, Llama, and open-weight models. Tool-using, retrieval-augmented, and evaluated against your acceptance criteria.
Workflow automation
Integration with your systems of record — ITSM, ERP, CRM, ticketing — through documented connectors and audited service accounts.
Production runtime
Observability, eval harnesses, prompt versioning, cost telemetry, guardrails, and a runbook. Built to be operated in production, day after day.
Model deployment
Self-hosted inference for sensitive workloads — vLLM, TGI, Triton — on your hardware or ours.
OEMs we engineer with for ai services & agentic workflows.
We carry authorizations across each. Status changes — call us if a vendor matters to you and isn't listed.
We build it before we recommend it.
Every reference architecture in this practice has been racked, configured, validated, or prototyped in our lab. That's where every recommendation we make comes from.
Scope a ai services & agentic workflows engagement.
Start with a 30-minute call. Bring the workload, the architecture, or the question. We'll bring the engineer.