Enterprise
Four ways we put AI to work inside your company.
Most enterprise AI spending goes to seats nobody uses. We start by finding out what should actually get built, then we build it and keep it running.
Services
Blueprint
AI Opportunity Audit
We pick one department, map how the work actually gets done, rank what AI should handle first, and build a working prototype of the top use case.
- Workflow map with volumes, cycle times, and where the hours go
- Ranked use cases scored on value, data readiness, and integration difficulty
- A working prototype of the number one use case, yours to keep
- A 90 day plan with sequence, owners, and costs
- Vendor neutral platform recommendation
130+ active internal users at loanDepot
Bridge
Connect what you already run
You already pay for AI licenses and the tools your team runs on. We wire them together so the AI can actually see and act on your systems.
- Existing connectors and MCP servers configured against your stack
- Permissions scoped by role, so people only reach what they should
- Full logging of every action the AI takes
- Rollout and training for the team that will use it
100+ students served, FERPA compliant at University of Redlands
Forge
Custom build for systems with no way in
For the systems that have no connector, usually something internal or industry specific, we build it ourselves.
- Custom MCP servers and integrations against your core systems
- Human approval required before any action writes or sends
- Immutable audit log of every request and every approval
- Production deployment, documentation, and handoff
Flightdeck
We run it after launch
The first three services build something. This one keeps it working. AI systems drift: prompts go stale, a vendor changes a model underneath you, your process changes and nobody updates the rules. We stay on as the team that owns it, so that never becomes your problem.
- We monitor it daily and fix what breaks, so nobody on your team is on call for it
- Prompts and rules updated as your process, your pricing and your policies change
- Model and vendor changes handled by us, including moving to a cheaper model when it fits
- New requests from your team built and shipped each month
- A one page monthly report on what it handled, what it cost, and hours saved
2,055 calls handled by AI in 28 days at Maggio Law
How these fit together.
First
Blueprint
Tells you what to build and in what order.
Then
Bridge or Forge
Does it, depending on whether your systems already have a way in.
After
Flightdeck
Owns it once it is live, so it keeps working and keeps improving.
Blueprint credits toward any implementation booked within 90 days.
Not sure which one you need.
Most teams start with Blueprint. Here is what the call actually covers, so you know whether it is worth twenty minutes.
01
What you are trying to fix
The department, the workflow, and where the hours currently go.
02
Whether AI is the answer
We will say so if it is not, before you spend anything.
03
Which service fits
Blueprint, Bridge, Forge or Flightdeck, and in what order.