Every answer traced to a source.
Yes — the policy allows it up to the stated limit, and the exception process applies for anything above it.
policy-handbook.pdf · p.14exceptions-matrix.xlsxGenerative AI, grounded in your world.
For teams buried in documents and repetitive questions who have been burned by chatbots that answer confidently and wrongly.
RAG systems
Assistants grounded strictly in your current, owned sources — with provenance.
Document AI
Extraction, classification, and packet assembly from messy documents.
Custom copilots
In-workflow assistants wired to your tools and data.
Knowledge & search
Semantic search over your corpus, every answer traceable to a source.
Fine-tuning & adaptation
Where a base model genuinely needs your voice or domain.
Grounded evaluation
Factuality, citation coverage, and refusal quality — measured, not assumed.
Five ways we deliver generative AI.
From finding the right use cases to governing models in production, these are the service lines we bring — end to end, or wherever you need us.
GenAI consulting
We find the high-value use cases, define the value metrics, and build a phased adoption roadmap tuned to your functional priorities — plus ideation and enablement to bring your teams along.
GenAI implementation
We move from idea to production with domain-specific language models, pre-built accelerators, and custom solutions integrated cleanly into your enterprise systems.
Data infrastructure for GenAI
We lay the groundwork — pipelines, data quality, governance, and a readiness framework — so models tap trusted, well-governed, business-critical data.
GenAI governance & LLMOps
A unified layer for single-pane visibility, cost control, and safety — an LLM gateway and vetted model garden, evaluation, versioning, and lineage across the lifecycle.
Multimodal GenAI
Solutions that span text, image, audio, and video — from document intelligence and creative generation to voice — wherever the content lives.
Every generative-AI workflow, mapped.
The patterns and architectures we build with — from grounding answers in your knowledge to governing many models behind a single, cost-controlled gateway.
Your documents are indexed once; every question is answered against them live — retrieved, reranked, grounded, and cited — so the model answers from your knowledge instead of its guesses.
Enterprise GenAI matures in layers: ground answers first with retrieval, add context with memory and tools, then let agents execute autonomously — each layer adds capability and needs governance to match.
We take a use case from idea to scale on a disciplined path — prioritized by value and feasibility, proven in a prototype, evaluated honestly, hardened and governed, then deployed and operated.
There is a spectrum from prompting to a purpose-built domain model. We pick the lightest approach that clears the bar — and combine them when it helps — rather than defaulting to the most expensive one.
Every app, agent, and copilot talks to models through one governed gateway — routing, guardrails, PII redaction, caching, and cost control in one place — backed by a vetted model garden and full observability.
Not everything is text. We build pipelines that take documents, images, audio, and video, reason over them together, and produce the answer, summary, or generated media you need.
Generative AI at work across your business.
Domain-aware GenAI applications that automate operations, sharpen decisions, and deliver measurable return. A sample of what we build, by function.
Creative generation
Generate on-brand copy, creative assets, and personalized messaging across digital channels.
Content at scale
Produce and localize campaign content across products and markets, fast.
Personalized recommendations
Tailor product and content recommendations to each customer in real time.
Sales enablement assistant
Synthesizes product knowledge and past interactions to answer buyer questions quickly.
Relationship-manager co-pilot
Drafts briefs, follow-ups, and research summaries to lift RM productivity.
Proposal & RFP drafting
Assembles tailored proposals grounded strictly in your approved content.
Document intelligence
Extract, summarize, and answer across contracts, records, and reports at scale.
Research summarization
Read and summarize large volumes of research and technical documents.
Contract analysis
Surface clauses, obligations, and risks across large sets of agreements.
Grounded support assistant
Answers from your knowledge base and live systems, with citations.
Email triage & response
Categorizes, prioritizes, and drafts replies to inbound email.
Agent assist
Real-time suggestions and call summaries for human agents on live cases.
Regulatory summarization
Condense lengthy filings and policies into concise, actionable insight.
Marketing compliance review
Check promotional content against brand and regulatory rules before launch.
Exception prediction
Predict and resolve transaction or process exceptions before they escalate.
Design document intelligence
Extract insight from engineering files, tests, and specs to speed validation.
Code assistant
Explain, generate, and review code grounded in your own repositories.
Knowledge search
Semantic search across R&D and design history to accelerate the work.
Questions teams ask.
Bring us a hypothesis. Leave with a system.
Tell us what's eating your team's time. We'll give you an honest read on whether AI is the right tool — and if it is, a scoped v1 with a timeline and cost.