Boldr AI
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Intelligent automation POD

A standing team that ships.

A POD of process, automation and AI engineers that releases every two weeks against a measured baseline.

Start a Value Discovery SprintSee how it works
2 weeks
release cadence
1
accountable lead
25%
minimum allocation per role
A standing team that ships.Backlogranked by valueFast trackweeksReleaseevery 2 weeksMeasured against the baselineHow the pieces connect

1The problem

Why the automation backlog grows faster than IT ships

A backlog that grows faster than IT ships.

Every department files automation requests with an IT team that also runs upgrades and security patches. Requests age in the queue while the work stays manual.

Consultants who leave slides, not software.

A diagnostic ends with a deck and a roadmap, then the firm rolls off, and your team inherits recommendations with nobody funded to build them.

Nobody owns the number.

Savings get promised in the business case, but no one is measured on them after go-live, so a drifting automation goes unnoticed for months.

2How it works

How a Boldr AI POD ships every two weeks

  1. 1

    Rank the backlog

    By value and ease.

  2. 2

    Cut fast tracks

    Each with a measurable release.

  3. 3

    Ship every two weeks

    Working software, bad news first.

  4. 4

    Measure

    Against the baseline.

3What you get

Who is on an intelligent automation POD

POD lead

One accountable lead who owns the number against the baseline and reports every two-week release to you, bad news first.

Process consultant

Removes and standardizes steps with your process owner before anything is built, so engineers automate the cleaned-up version of the work.

Automation & AI engineers

Senior nearshore engineers who build the workflows, bots and agents, then keep running them in production, starting at 25% allocation per role.

Data engineer

Joins the POD when a control tower is in scope. Connects source systems and holds one definition per metric, so every report uses the same number.

What runs it:Workflow

4Results

Measured POD results

Operations

From weeks of friction to an executable transition.

12 → 3weeks of transition
75%cycle reduction
US$850K+time recovered
Supply chain

An order-to-delivery execution system.

−40%exception-handling cost
3xorder processing speed
All case studies

Next step

Scope your first automation POD

Define the scope in minutes. We turn your answers into a focused Value Discovery Sprint.

Scope your sprint
in three questions.

Pick the capability. Your answers tell us where a Value Discovery Sprint would look first; a value consultant comes back with a proposed scope.

1What capability do you want to focus on?
2How much of the day goes to copying between systems?
3Do you know where your team's time actually goes?
4What happens to an exception?

Your readout

Your answers shape the scope.

A sprint would likely look first at:

  • Re-keying to remove
  • Capacity lost by half-hour
  • Exceptions without owner

A value consultant replies within one business day.

Questions

Can a Boldr AI POD be part-time?

Yes, Boldr AI POD roles can start at 25% allocation and grow with the backlog. The POD still releases every two weeks against the measured baseline, with one accountable lead for the number.