Capabilities / Artificial Intelligence / Generative AI Applications
Generative AI Applications
Assistants, copilots, and content workflows built on your knowledge, inside the tools your people already use.
01 — The problem
A chat window is not an application. Useful generative AI is grounded in your data, measured against real tasks, and built into the workflow where the work happens.
Ungrounded answersWithout retrieval and evaluation, a fluent answer and a correct one look the same.
Low adoptionTools that sit outside the daily workflow are tried once and forgotten.
Unpredictable costToken spend grows quietly until someone asks what each task actually costs.
02 — What we deliver
What we deliver.
01Knowledge assistantsRetrieval-based assistants over policies, manuals, contracts, and service records.
02Workflow copilotsAssistance embedded in the CRM, ERP, ITSM, and engineering tools teams already use.
03Document intelligenceExtraction, classification, and summarization for high-volume document work.
04Evaluation harnessTask-level test sets that run before every release and after every model change.
05Model selection & routingThe right model per task on quality, latency, and cost — and the ability to switch.
06Production operationsMonitoring, feedback loops, and cost reporting owned by a named team.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
05 — Related insights
Agentic AI · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requiresData & Platforms · 18 Jun 2026Data readiness for agentic AI: six questions to answer firstGovernance · 21 Aug 2026Designing an AI governance operating model that does not slow delivery06 — FAQ
We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.
Generative AI Applications
Turn the prototype into something people rely on.
Bring us the use case. We’ll show you what production-grade looks like for it.