A demo with nowhere to go
A promising prototype never becomes part of the working day because permissions, integrations, failure states and ownership were left until later.
Services / 01AI that does
AI that does
useful work.
We design AI automation around a real workflow, connect it to the tools and information it needs, and keep people in control of important decisions.
THE PROBLEM
AI becomes expensive when it is added before the work is understood.
Automation without control
A system acts confidently when it should ask for help. Without clear review points, small errors move quickly through the business.
Cost without visibility
Model usage grows, outputs vary and nobody can tell whether the automation is saving time or creating another process to supervise.
WHAT WE BUILD WITH YOU
An AI system built around the work, not around a model.
The exact package depends on the workflow. A typical engagement can include:
Workflow and decision map
A clear account of what happens today, where judgement is required and where automation can help safely.
Working automation
An agent, assistant or background workflow connected to the systems your team already uses.
Human review points
Approvals, escalation paths and fallbacks for decisions that should never be left to a model alone.
Evaluation and edge cases
Representative tests for quality, latency and failure modes before the system becomes operational.
Monitoring and controls
Useful logs, usage visibility and limits so performance and cost can be understood over time.
Handover documentation
A maintainable account of how the system works, what it depends on and how it should be operated.
HOW WE WORK
From a recurring task to dependable automation.
#PhaseWhat happensStage
01Understand the work
We observe the workflow, the information people use and the decisions they make before choosing a technical approach.
Understand02Prove the useful part
A focused prototype is tested with representative inputs to establish whether the automation is genuinely valuable.
Prove03Build it into the workflow
We connect data and tools, add permissions, review points, failure handling and the surrounding product experience.
Build04Test the edges
We evaluate difficult inputs, unsafe actions, cost and performance before the system is trusted with live work.
Verify05Run and improve
The automation is released with visibility into what it is doing, then refined using real operational feedback.
ImproveIS THIS THE RIGHT FIT?
Useful when the workflow is real and the outcome can be observed.
A STRONG FIT WHEN
- Your team repeats a knowledge-heavy or administrative workflow
- The necessary information exists but is spread across tools
- You can involve the people who currently perform or supervise the work
- You care about reliability, review and maintainability as much as the demo
PROBABLY NOT THE RIGHT FIT WHEN
- AI is being added mainly for positioning or fundraising
- There is no clear user, owner or operational outcome
- The system must make high-stakes decisions without human oversight
- You need a guarantee that a probabilistic model will never be wrong
START A CONVERSATION
Bring us the workflow that keeps consuming your team’s time.
We will help determine whether AI is useful, where people should remain involved and what a dependable first version should contain.
hello@unimount.ai