Agents and assistants that work the way your organization works.

1. Use-case discovery and prioritization

   Where agents and assistants create measurable value in your organization, and which to build first.

2. AI agents and agentic workflows

   Agents that carry out multi-step work across your systems and data, with the controls that govern what they can do.

3. Enterprise assistants, copilots and conversational AI

   Assistants for your teams and your customers, grounded in your enterprise knowledge and connected to the systems they need.

4. Responsible AI, security and quality

   Governance, access controls and evaluation, so agents act within policy and their quality is measured.

5. From proof of concept to production

   Taking a working pilot to a production system, then monitoring agents, models and assistants as they run.

1. Our teams in customer service, finance, HR or operations spend time on work an assistant could handle.

2. We have run AI pilots and none has reached production.

3. We want assistants that answer from our own enterprise knowledge and systems.

4. We need to know agents are secure, within policy and performing before we scale them.

1. Advise

   Find where AI creates real value.

   • Use-Case Discovery & Prioritization
   • Responsible AI & Governance

2. Build

   Turn high-value ideas into working solutions.

   • AI Agents & Agentic Workflows
   • Enterprise AI Assistants & Copilots
   • Conversational AI
   • Proof of Concept to Production

3. Manage

   Keep AI reliable, secure and continuously improving.

   • AI / Model / Agent Monitoring
   • AI Evaluation & Quality Assurance
   • AI Security & Access Controls

See the full AI engagement model