Real inputs
Documents, data, system state, customer requirements, and equipment information—not prompts prepared only for a demo.
About Aorist
Turn AI from a feature into an operating business capability.
Across consulting, platform, deployment, and operations, Aorist connects business work, engineering delivery, and model and compute governance.
What real business means
The inputs, actions, accountability, and evidence all come from real work.
Aorist focuses on what happens after AI enters the enterprise: what it reads, what it may do, who approves it, and how the result is traced.
Real actions
Review, write-back, publishing, tool use, or equipment control, each with explicit permissions.
Real accountability
Business, domain, and technical owners retain the judgment and authorization their roles require.
Real evidence
Versions, logs, validation results, exceptions, and review records show how the workflow operates.
The problem we solve
Models can be bought. Operating capability has to be built.
The common barrier is not generation, but the missing loop across scenario, workflow, system, and responsibility.
Scenarios are scattered and value is hard to verify
AI output does not connect to approval, entry, and action
Permissions, ownership, and acceptance are unclear
Products and delivery
Business entry, engineering governance, and model supply work together.
Business workbench
Give business teams a task and deliverable entry for agents instead of moving work between disconnected tools.
Engineering-agent delivery governance
Bring goals, roles, execution, tests, review, and evidence into one delivery chain.
Model and compute distribution
Unify models, GPUs, quotas, permissions, and cost attribution under explicit operating rules.
Diagnosis, integration, and operating support
Validate a minimum loop first, connect systems next, then improve it through operating evidence.
How we work
Start with real work and design the workflow and governance together.
Focus the scenario
Choose work that is frequent, owned, supported by real samples, and possible to judge.
Connect the workflow
Connect agents to sources, tools, human review, and existing systems instead of stopping at chat output.
Establish governance
Define access, review, evidence, exceptions, cost, and rollback before launch.
Collaboration and governance principles
Keep scope, ownership, and evidence clear from the start.
Each engagement begins with a real workflow and a verifiable goal. Data use, system access, human approval, delivery scope, and change records are agreed before implementation and reviewed during operation.
- 01Minimum necessary data and access
- 02Human confirmation at critical points
- 03Traceable operating and delivery evidence
- 04Transparent timing, capability, and outcome boundaries
Start with your real workflow.
Prepare your current workflow, core friction, and expected result so Aorist can assess the product combination and delivery path.