AI Operations
Built by 10XAI embedded into daily operations with governance — model choice, guardrails, human checkpoints and cost control.
Designed, engineered and documented by the 10X team. You own the outcome; we own the build.
What’s included
- Use-case selection and risk triage
- Tooling and model routing decisions
- Guardrails, review checkpoints and cost monitoring
Problems this solves
- AI experiments never make it into production
- Staff use AI tools with no data policy
- Costs and quality are unmonitored
How an engagement runs
- 01
Scope
A short working session to define the problem, success criteria and constraints.
- 02
Plan
A concrete proposal: what gets done, by whom, checkpoints, and what it costs.
- 03
Deliver
Execution with visible progress and proof-of-work at each checkpoint.
- 04
Review
Results measured against the criteria agreed in step one — not moved goalposts.
Common questions
Will my team actually use this?
Systems are designed around how your team already works, with proof-of-work checkpoints — not a binder nobody opens.
How long does implementation take?
Most operational systems pilot within 2–6 weeks. We prefer a small working version over a long perfect plan.
Often combined with
AI Agents
AI agents that handle the routine judgment calls — triaging, drafting, checking, routing — inside guardrails you define.
Process Optimisation
Existing processes made faster and safer — improve before you build, remove steps before you automate them.
Workflow Automation
Automations that move data and trigger actions between your tools — no more copy-paste as a job description.
Ready to look at ai operations?
A short conversation is enough to tell whether this is the right lever for your business. If it isn’t, we’ll say so.