Scope
A short workshop to pick the use case, define what success looks like and check your data.
AI solutions
that do the work.
Six ways we put AI into production: agents that finish tasks, assistants grounded in your own documents, products built on language models, automated workflows, voice agents and a governed platform for larger teams.
Running nowExample runs
| No. | Solution | Latest step | Status | |
|---|---|---|---|---|
| 01 | Agentic AIAgents | Done · 3 meetings booked | Done | → |
| 02 | RAG & KnowledgeKnowledge | search → 1,240 documents | Running | → |
| 03 | LLM ApplicationLLM apps | validate → tone & policy checks | Running | → |
| 04 | AI Workflow AutomationAutomation | Trigger: new invoice email | Planning | → |
| 05 | Voice AIVoice | Booked · summary sent | Done | → |
| 06 | Enterprise AI PlatformPlatform | sso → role verified | Running | → |
Six ways to put AI to work
Agentic AI
Autonomous agents that plan, use your tools and finish multi-step tasks on their own.
planGoal: qualify 12 new inbound leadstoolcrm.search → 12 new recordstoolcalendar.book → 3 meetingsdoneDone · 3 meetings booked
Task & goal planningTool & API useMemory & contextGuardrails & approvalsExplore Agentic AI Not sure where to start?
Pick the outcome you want and we’ll point you at the right solution.
We’d suggest
RAG & Knowledge
Because you want to answer customer questions. Grounds every answer in your help center and policies, with sources customers can check.
See RAG & KnowledgeFrom first call to production
Prototype
A working demo on your real data within weeks, so you can see it before you commit.
Build & integrate
A production build connected to your tools, with guardrails, tests and monitoring.
Launch & improve
We go live, track quality and cost, and keep tuning as usage grows.