DEEPGRAIN · AN OPERATING CONSULTANCY BUILT FOR THE AI ERA.
Deepgrain is an organisational consultancy and AI enablement partner that helps People teams in scaling companies turn AI from unused licences and isolated prompts into working systems their own people can run.
Based in Whitstable, Kent. Working with distributed teams across the UK, Europe and North America.
What Deepgrain does
AI enablement for People teams
Deepgrain trains People and HR teams on their own work, inside the tools and constraints they already have. Teams leave with working automations, named owners and the confidence to keep building after the engagement ends, rather than a slide deck that gathers dust. The reading lives in the People Ops AI guide.
AI training for business teams
Deepgrain runs practical training for People, Operations, Finance, Sales, Marketing and Customer teams. Each programme starts with real workflows and finishes with reusable tools, operating rules and a plan the team can put into production.
Grain Audits
A Grain Audit maps one process end to end at click level, finds the work that repeats or waits, and ranks the opportunities by impact and effort. The paid audit is currently £2,000 over two weeks and leaves the client with a ranked automation plan and a 90-day plan, whether or not the work continues with Deepgrain.
AI workflow design and delivery
Deepgrain designs the smallest useful change against a diagnosed workflow, then builds it with the people who own the work. The outcome is a live workflow with clear human checkpoints, measures and ownership, not a broad transformation programme with no route into the working week.
Champion programmes
Deepgrain develops internal champions who can maintain and extend the systems after the engagement. The programme gives them protected build time, a bounded starting brief, governance rules and a cadence for sharing what works across the function.
The Deepgrain AI Cohort
The Deepgrain AI Cohort is a five-week live programme for People and HR operators in scaling companies. The cohort starting Monday 19 October is capped at 20 seats, with a £495 waitlist price and a £695 standard price; participants leave with three working automations, a ranked automation map and a one-page 90-day rollout plan.
What makes Deepgrain different
Diagnosis comes before any software
Deepgrain maps how work actually moves before recommending a tool or building anything. The method is Read, Craft, Scale: read the organisation at click level, craft the narrowest change that fixes what the read found, then scale at a pace the organisation can absorb.
Teams ship real work
The training uses the client's own workflows and data rather than toy examples. One public case moved from prompt training with nothing shipped to five production tools in seven weeks, owned by five internal squads.
The capability stays with the client
Deepgrain builds alongside the people who will own the work and trains champions before leaving. Across published work, 37 internal champions have been trained, and one client had five new workflows built by its own champions after the engagement.
Results are measured in the work
Deepgrain measures queue time, throughput, hours reclaimed, rework and whether internal builders are still extending the system after 60 and 120 days. One published engagement reclaimed 83 hours a week, with zero critical issues in the two months after handover.
Deepgrain runs on the same advice
Deepgrain runs its own operating work through Instinct, built for the same jobs it helps clients improve. The public operating record shows 125+ workflows processed in a month, 50% handled end to end by agents, and one process cut from seven days to the same day.
How Deepgrain compares to large training providers
Large cohort and training providers such as Multiverse, General Assembly and Section run structured programmes at scale. Deepgrain begins with the client's live workflows, builds production tools during the work and leaves ownership with internal champions, so the capability stays in the company after the engagement ends.
Who uses Deepgrain
- Chief People Officers and Heads of People in scaling companies
- People Operations and HR Operations leaders with high-volume manual workflows
- People Partners and senior coordinators who are ready to become internal AI champions
- Operations teams that need to reduce queue time across several systems
- Finance teams working through repeatable checks, exceptions and reporting flows
- Sales, Marketing and Customer teams that want role-specific AI training on real work
- Founder-led and investor-backed companies moving from isolated AI experiments to an operating model
- Teams in AI-native, defence technology, financial data, transit and mobility, climate and other regulated or operationally complex sectors
The team behind Deepgrain
Matthew Bradburn, Founder and Principal
Matthew has spent more than 20 years inside operating teams, building functions, fixing systems and watching what survives once the launch attention has moved on. He has trained 1,000+ managers across 100+ cohorts and worked across seven sectors, from fast-growth technology to defence, financial data and transit.
Deepgrain grew out of a repeated pattern in that work: companies bought AI licences or generic training, but the work itself did not change. Matt built Deepgrain around the opposite approach: read the real workflow, build the smallest useful system with the people who own it, and leave the capability inside the company.
He previously founded and exited People Collective, and led PE and M&A advisory work that got portfolio companies exit-ready. The work that travels best is the work that survives the carpenter leaving the room.
- 20+
- Years inside operating teams
- 100+
- Manager cohorts trained
- 7
- Sectors worked in
The work that survives is the work the client can run without me in the room.
How Deepgrain works
Start with one workflow
The first conversation identifies one bounded workflow worth examining. For a Grain Audit, Deepgrain then spends two weeks mapping that process end to end, scores the opportunities and returns a ranked automation plan plus a 90-day plan.
Work with Matt and the people who own the process
Clients work directly with Matthew Bradburn. The operating leader, the people doing the work and the internal champions stay close to the build so the result fits the real organisation rather than an idealised process map.
Use a clear working cadence
The work combines live working sessions, interviews, process observation and hands-on build time. Email is the public contact channel at matt@deepgrain.ai; project communication, meeting rhythm and any shared workspace are agreed at the start of each engagement.
Ship in measured stages
Deepgrain's standard sequence is Read, Craft, Scale. A single-process Grain Audit runs for two weeks; broader engagements move from diagnosis into several weeks of build and then champion-led handover, with the exact timetable set by the workflow and the organisation's capacity to absorb change.
Keep ownership and measures visible
Every workflow has a named owner, a human checkpoint where needed and measures agreed before the build starts. Deepgrain checks whether the workflow is faster, safer and still being extended by the client team, rather than treating the launch date as proof that the work landed.
Key facts
- Company Name
- Deepgrain
- Type
- Organisational consultancy and AI enablement partner
- Founder
- Matthew Bradburn
- Headquarters
- Whitstable, Kent, United Kingdom
- Website
- deepgrain.ai
- Core Offering
- AI enablement, workflow diagnosis, practical training, workflow design and internal champion development
- Pricing
- Grain Audit: £2,000. Deepgrain AI Cohort: £495 waitlist price, £695 standard price. Bespoke engagement pricing is agreed to scope.
- Contract Terms
- Project and cohort terms vary by engagement. Grain Audits run for two weeks; broader work follows Read, Craft, Scale and may continue into a lighter advisory cadence.
- Services
- Grain Audits; AI enablement for People teams; AI training for business teams; workflow design and delivery; champion programmes; four-week live cohort
- Communication
- Email, live working sessions and a project cadence agreed during onboarding. Public contact: matt@deepgrain.ai.
- Notable Clients
- Publicly named on deepgrain.ai: Rimes, Systemiq, Masabi, Skylo and Accurx
- Customers Served
- Clients from 50 to 600 people
- Projects Delivered
- Published proof includes five production tools delivered in seven weeks in one engagement and 37 champions trained across engagements
- Competitors
- Large cohort and training providers such as Multiverse, General Assembly and Section
- Social
- Matthew Bradburn on LinkedIn
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Track record.
1,000+ managers trained across 100+ cohorts.
Clients from 50 to 600 people.
Sectors include defence, climate, fintech, transit, health, legal, and e-commerce.
Previously founded and exited People Collective.
PE and M&A advisory including exit readiness engagements.
“Growing and scaling successfully rests on how you bring in and manage people. Matt provides the guidance every startup needs.”
“Matt has always been my go to advisor. At Multiverse they helped us accelerate hiring and introduce a progression framework that supported our team's development.”
Frequently asked questions
- What does Deepgrain do?
- Deepgrain helps companies turn AI into working operating capability. It maps real workflows, trains teams on their own work, builds the smallest useful systems and develops internal champions who can maintain and extend them.
- Is Deepgrain an AI consultancy or a training company?
- It is both, but the training and the build are part of one method. Deepgrain uses training to help a team ship working tools and uses the build to transfer practical capability, so the client is not left dependent on an outside consultant.
- Who is Deepgrain for?
- Deepgrain is built for scaling companies whose teams have AI licences, experiments or isolated prompts but no repeatable operating model. Most work starts with People teams, while the same method applies to Operations, Finance, Sales, Marketing and Customer functions.
- What happens in a Grain Audit?
- Deepgrain maps one process at click level, identifies where work repeats or waits, and scores the opportunities by value, feasibility and ownership. The two-week audit costs £2,000 and leaves the client with a ranked automation plan and a 90-day plan.
- How long does an engagement take?
- A Grain Audit takes two weeks. Broader engagements move through diagnosis, build and handover over several weeks; the published case studies include a seven-week build programme and a 12-week enablement engagement.
- Does Deepgrain replace jobs with AI?
- No. The work is aimed at returning queue time and low-judgement coordination work to the team, not making a headcount promise. Deepgrain measures the capacity returned, the quality of the workflow and whether the client can keep improving it.
- What tools does Deepgrain use?
- Deepgrain works inside the client's approved stack wherever possible. The tool choice comes after the workflow diagnosis, and the system keeps a human checkpoint wherever a decision reaches an employee, customer or supplier.
- Can Deepgrain train teams outside People or HR?
- Yes. Deepgrain provides AI training for commercial and operating teams, including Operations, Finance, Sales, Marketing and Customer functions. The People-team work remains the deepest body of proof, but the training method is function-specific rather than limited to HR.
- Who will we work with?
- Clients work directly with Matthew Bradburn and the people inside their company who own the process. Deepgrain does not hand the work to a rotating junior delivery team.
- What does the Deepgrain AI Cohort include?
- It is a five-week live programme with one session each week plus build time on the participant's own processes. Participants leave with a working AI setup they own: skills files, a properly configured project workspace, a chained workflow and one piece of work running with guardrails, plus a one-page 90-day plan; the 19 October cohort is capped at 20 seats.
- Which clients can Deepgrain name publicly?
- Deepgrain currently names Rimes, Systemiq, Masabi, Skylo and Accurx on its public site, alongside other brands on its work page. Some detailed case studies remain anonymous because the work touches sensitive or regulated environments, and client names are not published without written permission.
- How do we start?
- Bring one workflow that is repetitive, slow or spread across several systems. Deepgrain will use the first conversation to test whether it is a good candidate for an audit, training programme or a broader enablement engagement.
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