Put AI to work on the jobs your business repeats.
MAST builds an agent around one important workflow - connected to your systems and data, with the rules and approvals built in.
Warehouse, 08:12▍
- Data
- orders and live stock
- Tools
- pick-sheet builder
- Rules
- available minus reserved
- Reading the order bookorders · status: awaiting dispatch
- Checking what’s on the shelfstock · available vs reserved
- Building the pick sheetgrouped by shelf, in walking order
The bottlenecks to start with
Repetitive admin
Reading, sorting, checking and reporting handled inside your systems.
Explore AI assistants →Knowledge bottlenecks
Give the team access to specialist judgement without losing expert sign-off.
Explore recommendation engines →Systems that do not join up
Connect the gaps people currently bridge by hand.
See e-commerce evidence →Three workflows, already made useful.
Optimal Lab
Shop operations bring orders, stock and pick sheets together.
Precision Physiques
AI drafts nutrition plans around deterministic targets; validation gates hold or refuse misses, and the coach controls release to the client.
Silent Sentinel CameraUI
An AI assistant in the camera console can control connected live hardware.
Five stages, from real work to handover.
- 01 · Map
Map the real work
Find the decisions, handoffs, source information and exceptions in the operation as it actually runs.
- 02 · Scaffold
Build the scaffold
Give the agent an owned system with the right data, tools, permissions and screens.
- 03 · Agent
Equip the agent
Add tested instructions and the tools that let it read, draft, check, sort and report.
- 04 · Boundary
Define the boundary
Put deterministic rules and human approval on the decisions the agent must not own.
- 05 · Handover
Hand over the system
Train the team, document the build and leave the code, infrastructure and accounts in the client's ownership.
Show us the bottleneck.
Start with one workflow.
Prove it. Expand only when it is useful.