Generative AI applications
Custom applications built on foundation models and your enterprise context.
AI & Intelligent Automation
Move from AI pilots to governed, valuable capability
Generative AI, agentic workflows, and automation applied responsibly to real operational problems.
The challenge
Promising pilots, limited production value
Many organizations have experimented with AI but struggle to reach dependable, governed production use. Without the right data, guardrails, and human oversight, potential stays trapped in proofs of concept.
- Pilots that never reach production
- Concerns about accuracy, safety, and governance
- Disconnected data and knowledge sources
- Unclear return on AI investment
AI engineered for trust and outcomes
Core capabilities
We build AI and automation into workflows where it creates measurable value — grounded in your data, wrapped in governance, and designed with humans in the loop. From copilots to intelligent document processing, we make AI dependable enough to operate on.
Enterprise copilots
Assistants embedded in the tools your teams already use.
Agentic workflows
Orchestrated, tool-using agents for multi-step operational tasks.
Intelligent document processing
Extraction, classification, and routing for high-volume documents.
RAG & knowledge systems
Retrieval-grounded answers over trusted enterprise knowledge.
Responsible AI governance
Guardrails, evaluation, and human-in-the-loop oversight by design.
How we engage
How we engage
Technology & platforms
LLM orchestrationVector searchRAG pipelinesEvaluation & guardrailsWorkflow automationMLOps
01
Identify high-value use cases
Prioritize where AI meaningfully improves cost, speed, or quality.
02
Ground in data & guardrails
Connect trusted sources and define evaluation, safety, and oversight.
03
Build & evaluate
Engineer the application and measure quality against clear criteria.
04
Operate responsibly
Monitor, improve, and keep humans in control as usage scales.
Typical use cases
- Automating high-volume document and case workflows
- Deploying a governed enterprise knowledge assistant
- Augmenting service teams with AI copilots
- Streamlining back-office operations with agents
Business value
- AI that reaches dependable production
- Measurable operational efficiency
- Governed, human-in-the-loop adoption
- A reusable foundation for future use cases
Explore more
Related services
Related insights
Perspectives to explore
Blog
From AI pilots to governed enterprise adoption
Most organizations can build an AI pilot. Far fewer reach dependable, governed production. Here's what closes the gap.
Read moreBlog
Modernizing legacy platforms without stopping the business
Wholesale rewrites are risky and rarely necessary. Incremental modernization reduces risk while keeping the business running.
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Designing cloud operating models for continuous change
Moving to the cloud is the start. The operating model determines whether you gain the agility the cloud promises.
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Your next digital advantage starts with a conversation.
Tell us where your organization is heading. We'll help define the engineering, intelligence, platforms, and talent needed to get there.