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Black Mountain AI

Delivery

We build the systems, then hand them to your team.

We embed with your team, build in your environment and hand the work over so your people can run it.

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The service

We take a use case to production and leave your team able to run it.

We turn approved use cases into working software in twelve-week cycles. We embed inside your teams, work within your governance and leave your workforce more capable than we found it, and every proof of concept has a named business owner, a measurable outcome and an agreed path into business as usual. At Direct Couriers we used AI-accelerated development practices to build cold chain monitoring, reporting and alerting in weeks.

Services

Here is what delivery work involves.

  • We design the innovation framework and the proof-of-concept pipeline.
  • We prioritise use cases with work-in-progress limits and tiered progression.
  • We deliver twelve-week proofs of concept in secure, governed environments.
  • We embed delivery pods covering strategy, design, engineering and change.
  • We move work from proof of concept into production and hand it to your operations team.
  • We lift AI literacy across your workforce and your executive while we build.

Why it works

Here is why we approach delivery this way.

  1. Proofs of concept fail when delivery is disconnected from governance, so we do both together.

  2. Twelve weeks is long enough to prove value and short enough to kill a weak idea before it acquires political weight.

  3. Our people have delivered inside federal departments, inside large companies and inside small not-for-profits, so we arrive knowing how your software development lifecycle and your risk posture work.

  4. We hand over deliberately, so you finish the engagement able to run the thing yourselves.

By stage

We scope delivery to where you actually are.

Exploring

You are aware of AI but have no strategy yet.

  • We run discovery sprints.
  • We build a low-risk proof of concept.
Developing

Your strategy is forming and the first use cases are running.

  • We stand up the innovation pipeline.
  • We run twelve-week proofs of concept.
  • We build the prioritisation model.
Scaling

AI is running and you are ready to expand and govern it.

  • We embed delivery pods.
  • We move proofs of concept into business as usual.
  • We build custom systems where no product fits.

Evidence

This is our delivery work on real engagements.

PrivateDirect Couriers

Cold chain monitoring, reporting and alerting, built at speed

A national courier business needed visibility over temperature-controlled freight: continuous monitoring, reporting its customers could rely on, and alerting that reached someone while the load could still be saved. We used AI-accelerated development practices to build it in a fraction of the usual timeline.

We went from start to a working system in weeks
WeeksWe went from start to a working system in weeks
Monitoring runs across temperature-controlled freight
ContinuousMonitoring runs across temperature-controlled freight
Alerts arrive while a load can still be saved
Real-timeAlerts arrive while a load can still be saved
Read case study

Other services

Strategy and Discovery

We help you work out what to do with AI, and why.

Governance

We help you use AI without putting trust at risk.

Education and Capability

We get your people leading the work, not waiting on us.

Contact

Tell us what you are trying to do and we will tell you whether AI helps.

If AI is the wrong tool for your problem we will say so, and we will explain why.

Talk to usSee our work