Services

What we do

Three practice areas. Most engagements start with the first; all three share the same method and the same four outcomes.

Three practice areas as one journey: assess and redesign, design and build, govern and enable
Assess and redesign, design and build, govern and enable — one journey, with governance spanning all of it.
Practice area A

Process Assessment & Redesign

Evidence before investment: a mapped process, a baseline, three ranked opportunities and a recommended first pilot.

Who it's for

Leaders who own an operation that is slow, manual or hard to audit and want evidence before investing.

What we do

  • Interviews and shadowing
  • Process map (as-is)
  • Baseline metrics: cycle time, people involved, error and exception rate, visibility
  • Constraints on data, approvals and systems
  • Critical review of requirements
  • Three ranked opportunities with effort and benefit
  • Recommended first pilot
Process-mapping workshop with the people who do the work
What you get
A decision paper — process map, baseline, ROI range, pilot scope and success criteria.
Typical duration
3–4 weeks
Starting scope
Fixed fee. Credited against a pilot.

Sound familiar?

You know AI could help, but you need a better view of where the value really is.

Your team has too many ideas and not enough prioritization.

You need a practical plan that ties automation decisions to cost, speed, and operational outcomes.

Practice area B

AI Solution Design & Build

The redesigned process, built with AI where it earns its place and with human review, approvals and audit history designed in.

Who it's for

Organizations that have identified a process and need it rebuilt with implementation discipline.

What we do

  • To-be process design
  • Solution architecture
  • AI-assisted extraction, classification, validation or retrieval where it earns its place
  • Human review and approval steps
  • Exception queues
  • Audit history
  • Integration with ERP, SAP or case systems
  • Dashboards
Solution architecture: intake, AI-assisted extraction, human review, approval, system of record and dashboard
What you get
A working, governed system running real work, measured against the baseline, documented and handed over.
Typical duration
Pilot 6–10 weeks, scoped to one process; scale phased.
Starting scope
Fixed scope per pilot, with acceptance criteria agreed up front.

What leaders usually ask

“We already have existing tooling”

Existing tools rarely solve document variability or process friction end to end. Custom extraction plus review fills the gap.

“We do not want a black box”

You get structured review, low-confidence flagging, and audit history — visibility into how each result was produced.

“We still need human judgment”

Human review stays where it matters while AI removes the repetitive extraction and tracking work.

Practice area C

Governance, Controls & Enablement

Put the guardrails, review policies, and team enablement in place so AI adoption stays controlled, auditable, and trusted.

Who it's for

CIOs and risk owners who need AI to move forward without creating shadow AI, vendor risk, or ungoverned automation.

What’s included

  • AI governance and usage policy framework
  • Human-review and approval design for critical processes
  • Model-risk, data-handling, and access-control guidance
  • Vendor evaluation criteria and team enablement sessions
  • Data-protection screening and impact-assessment support under the law that applies to you (GDPR, US state law, national privacy acts)
Layers of control around an AI-assisted process: access, approvals, exceptions and audit trail
Deliverable
A governance framework, approval design and a team trained to run it.
Typical duration
Runs alongside assessment and build, or as a standalone engagement.
Starting scope
Scoped to the processes and teams in play.
Symptoms
  • Teams are experimenting with AI tools faster than policy and controls can keep up.
  • Leadership needs assurance on data handling, model risk, and human oversight before scaling.
  • You need a repeatable way to evaluate AI vendors and keep humans accountable for critical decisions.
What you get
  • A practical AI governance framework fitted to your operations
  • Clear human-in-the-loop and approval policies for critical processes
  • Model-risk, data-handling, and access controls you can stand behind
  • A team that can adopt AI confidently instead of avoiding or misusing it
Audit history and traceability standardsGuardrails that keep humans accountable for critical decisionsEnablement and training so adoption is confident, not chaotic

Common questions

We already have an IT team — why do we need this?

Governance and enablement complement your IT team. We help set the policies, human-review standards, and vendor-evaluation criteria, then train your people so they can adopt AI confidently and own it — we do not replace them.

How do you prevent shadow AI and ungoverned tools?

We put a practical usage policy, approval design, and access controls in place, and we make the safe path the easy path — so teams adopt AI within guardrails instead of around them.

What does enablement include?

Hands-on training sessions on administering and overseeing the AI-enhanced processes we build, plus documentation, so your team ends the engagement more capable than it started.

Working with your IT team

We bring the AI expertise to help your organization improve faster. Your IT team stays in control.

We work alongside your IT team, adding AI expertise and extra capacity for one project. Together we assess, build and train, then hand the solution over for your team to run.

See how we work with your IT team →

Have a process that is slow, expensive or hard to audit?

Tell us about it in 30 minutes. You will leave with three places to look and an honest view of whether AI belongs there.