AI · Product · Cloud · Business Transformation

Consulting for theBig Mo.

Most organisations are not short of strategy; they are short of execution capacity. We take AI, cloud and operating-model programmes from diagnostic to a released, supported capability, working inside your estate and to your standards.

Request a working session View our services
  • ▸Two-week diagnostic
  • ▸Six to twelve weeks to production
  • ▸Senior team throughout
BigMoDa.AIAI · Product · Cloud
Momentum curve
Motion → Momentum
Live
PilotProductionScale
·BigMoDa.AI
  • AI Solutions
    Applied intelligence
  • Innovation
    Ideas that ship
  • Technology
    Cloud-native
  • Impact
    Curves that bend
Services

AI + Cloud + Change ▸ Momentum

All services
AI

AI & Applied Intelligence

Use-case selection, GenAI and agentic workflows, and ML platforms, taken from pilot to production with clear ownership and measures.

  • ▸GenAI & agent design
  • ▸ML platform & MLOps
  • ▸Data & evaluation
  • ▸Responsible AI guardrails
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Cloud

Cloud & Platform Engineering

Modern landing zones, application modernisation, and platform engineering across AWS, Azure, and GCP. Built for speed, cost discipline, and resilience.

  • ▸Landing zones & FinOps
  • ▸App modernization
  • ▸Platform engineering
  • ▸SRE & resilience
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Transformation

Business Transformation

Operating models, value streams, and change programmes that reset how work flows, with adoption measured rather than assumed.

  • ▸Operating model design
  • ▸Value-stream redesign
  • ▸Org & change
  • ▸Tech-enabled M&A
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Advisory

Consulting & Advisory

Senior advisors embedded with your leadership team, working to clear priorities and an operating cadence that outlasts the engagement.

  • ▸CXO advisory
  • ▸Tech & data strategy
  • ▸Program turnaround
  • ▸Sourcing & vendor strategy
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0%
Average cloud run-rate reduction
Velocity
From decision to delivery
0 wks
To first production release
Agility
Pivot in weeks, not quarters
Why clients engage us

Senior people, accountable.

Most programmes stall on ownership, cadence and the discipline needed to take a capability all the way into production. That is the part of the work we take on.

The people who advise are the people who deliver

The practitioners in the first working session stay on the engagement through the release. No pyramid staffing.

One backlog inside your estate

We work in your environment, to your standards, alongside the vendors and platform teams already in place, rather than running a parallel programme.

Governance built into the delivery

Evaluation, guardrails, audit trails and a documented release path are delivered with the capability, so risk and legal review is not left to the end.

Measured against metrics you already track

Cycle time, run rate, adoption and release frequency. We record the baseline first, then report the change against it.

How the engagement runs
Proof of momentum

Engagement patterns.

Anonymised patterns from work our partners have led. Client names remain confidential. The approach and the measures are set out as they were.

Financial Services

▸A GenAI assistant stalled in pilot for three quarters with no route to production.

▸Re-shaped the use case, built an evaluation harness, and delivered a governed release path.

Pilot, no ownerProduction release
8 weeks to first release
Manufacturing

▸Cloud spend compounding faster than workload growth, with no unit economics in view.

▸Landing-zone rebuild with FinOps guardrails, tagging discipline, and rightsizing automation.

Unmanaged run-rateGuardrailed platform
Up to 40% run-rate reduction
Healthcare & Life Sciences

▸A critical value stream spread across four teams with hand-offs measured in weeks.

▸Rewired the stream end-to-end: one backlog, one owner, instrumented flow metrics.

Weeks of hand-offDays of flow
Cycle time cut by half
Momentum model

Size the opportunity.

Adjust the inputs for an indicative range over the first two quarters, based on prior engagement patterns. It is a model, not a quote.

Indicative first-year impact
Cloud run-rate released$336K
Extra production releases per year13
Engineer days returned to delivery432
▸Cycle time moves from 10 weeks to roughly 5 weeks once flow, guardrails, and ownership are in place.
Discuss these numbers
Approach

Diagnose. Deliver. Compound.

Three moves, run in short loops, with an operating cadence your teams keep after the engagement ends.

01
Find the Mo

A two-week diagnostic. We map where value is stuck and which initiatives are worth backing.

  • ▸Momentum map
  • ▸Bet portfolio
  • ▸First-mover shortlist
02
Stand it up

Delivered in six to twelve weeks. An AI capability in production, a landing zone live, or a value stream rewired.

  • ▸Production release
  • ▸Operating handbook
  • ▸Adoption plan
03
Scale the Mo

Operating model, platform, and squads so the capability continues after the engagement ends.

  • ▸Squad model
  • ▸Platform paved road
  • ▸Quarterly cadence
Take the 3-question momentum diagnostic
How we engage

Three ways in, one standard of work.

Two weeks

Diagnostic

For leaders who need a defensible answer fast.

  • ▸Current-state read across tech, flow, and spend
  • ▸Prioritised opportunity map with sizing
  • ▸A delivery plan a board can sign off
Start here
Six to twelve weeks

Delivery pod

For teams that need production, not a pilot.

  • ▸Senior pod embedded with your people
  • ▸Working software in your environment
  • ▸Evaluation, guardrails, and a release path
Start here
Quarterly cadence

Compounding advisory

For organisations protecting hard-won momentum.

  • ▸Standing architecture and delivery counsel
  • ▸Portfolio and FinOps review each quarter
  • ▸Capability transfer to your own leaders
Start here
From the room
Most AI programmes do not fail on the model. They fail on the plumbing, the evaluation, and the operating discipline around the release.
KRKalilur RahmanCo-founder & CTO
Momentum is a cadence problem before it is a talent problem. Fix the loop, and the same people deliver twice as much.
LLeadershipCEO
Industries

Momentum, tailored to your sector.

Regulated, capital-intensive, or digital-native. We bring senior operators who understand the reality of your sector.

  • Financial Services
  • Insurance
  • Healthcare & Life Sciences
  • Pharma & Biotech
  • Retail & CPG
  • Manufacturing
  • Energy & Utilities
  • Public Sector
  • Technology & SaaS
  • Telecommunications
  • Media & Entertainment
  • Travel & Hospitality
  • Automotive & Mobility
  • Logistics & Supply Chain
  • Real Estate & Construction
  • Education
  • Professional Services
  • Agriculture & Food
Straight answers

The questions that come up first.

A two-week diagnostic can usually begin within ten business days of a first working session. Delivery pods stand up on the back of that diagnostic, typically inside a month.

Yes. Most of our engagements run inside an estate that already has vendors and platform teams. We work to the same backlog and hand over cleanly rather than building a parallel programme.

A senior, accountable group: architecture, engineering, and delivery leadership working in your environment. The output is working software with evaluation, guardrails, and a documented release path.

We work within your controls and your tenancy. Data stays in your environment, access follows your policies, and evaluation and audit trails are part of the build rather than an afterthought.

No. AI is one of three practices alongside cloud platform and operating model change. Most engagements touch at least two, because AI outcomes rarely fail on the model alone.

Your team owns the work. We transfer capability throughout, and many clients keep a quarterly advisory cadence so the momentum holds after the pod leaves.

Executive briefing

The capabilities pack, sent to your inbox.

A short, senior read on how we diagnose, deliver, and compound. Written for the people who sign off on the bet, not for the procurement folder.

  • ▸How we scope a two-week diagnostic
  • ▸Reference architectures for GenAI and agentic workflows
  • ▸Cloud landing zone and FinOps guardrail patterns
  • ▸Delivery cadence from decision to first production release
Request the pack

No list, no drip sequence. One pack and a human reply.

Diagnose. Deliver. Compound.▸▸AI in production.▸▸Cloud with unit economics.▸▸Senior teams. Accountable outcomes.▸▸Diagnose. Deliver. Compound.▸▸AI in production.▸▸Cloud with unit economics.▸▸Senior teams. Accountable outcomes.▸▸
Contact

Tell us where it's stuck.

A two-week diagnostic. A senior team. A concrete plan for the first working release. No pitch deck required.

We reply within one business day.