AI
Earning trust: AI transcription for strict financial environments
$50K+
Typical in-house build cost eliminated
25%
Churn reduction driven by contextual chat
AI implementation that makes it to production.
We bring your highest-value workflow into production in 8-12 weeks, with governance built in from day one.
Not a strategy deck.
Not a demo that dies in review.
AI live in SOC 2 and HIPAA environments since 2024.
For
CIOs, CTOs, and data leaders under executive pressure to show AI results with security and governance answered up front.
What we do
Production Workflows
Enterprise search, RAG, and agent workflows connected to the systems you already run, taken from use case to production.
AI Apps, Agents, and MCP Servers
Production-grade AI apps, agents, and MCP servers built around your workflows. Owned by you, without platform lock-in.
AI Data & Retrieval Engineering
Semantic models, pipelines, retrieval, and permissions that ground agents in trusted, current data.
Evaluation & Agent Operations
Simulations and evals before launch. Production guardrails, human escalation, monitoring, and controlled improvement after.
How we automate workflows and get AI into production
This is AI working inside your business.
For AI across your software delivery process, explore AI-Accelerated Delivery.
Our work
AI
Instant AI-powered search that connects to 100+ enterprise system
100+
enterprise platforms connected
80%
less time spent searching internal data
FAQ
Takes AI from a plan to a system your business runs on. In practice: we find the workflow with the highest validated ROI, map the data
and access gaps in the way, build the RAG, search, or agent system, and run it in production with governance and monitoring in place.
The AI Workflow Sprint prioritizes the workflow and validates the ROI; the AI Workflow to Production Squad then takes it live in 8–12 weeks — in production with governance and monitoring in place, not a demo on a laptop.
Yes — that is what the sprint is for. We map the data and system gaps standing between your systems and the workflow, and the production roadmap prices them in. Most companies are readier than they think for the first workflow.
Governance is built in from the start, not bolted on at the end: usage visibility, audit trails, PII boundaries, and access controls that hold up in a regulated company. Your data stays inside the boundaries you set.
We are model-agnostic: Claude, OpenAI, Gemini, and open-weight models, chosen per workflow for quality, cost, and governance fit — no platform bet you can't unwind.
AI Implementation puts AI to work inside your business: enterprise search, RAG, and agents running in production. AI-Accelerated Delivery puts AI to work in how your software gets built: an agentic SDLC that ships faster. Many clients start with one and grow into the other.