RevSurf.Software Engineering & IT Consulting

AI Migration · Software Engineering · IT Consulting

Make AI work in your business.
Build the software behind it.

RevSurf helps businesses introduce AI into existing systems, migrate AI workloads and deliver software, cloud and data projects.

Technical direction and an engineering team shaped around your scope—from assessment through implementation and handover.

Discuss Your ProjectExplore AI Migration
AI / FROM KNOWLEDGE TO ACTIONILLUSTRATIVE
Ground AI in approved information, evaluate outputs and keep people in control.Knowledge sourcesBusiness systemsAI + engineeringEvaluate · integrateHuman reviewReviewable outputApplicationGrounded in your context
  1. Approved knowledge
  2. AI integration
  3. Human review
Ground AI in approved information, evaluate outputs and keep people in control.
Accountable technical direction A team shaped around your scope Assessment through to handover

Where we can help

Your next move.
Built on solid engineering.

01 /
Approved knowledge → Retrieve context → Review the answer
  1. Approved knowledge
  2. Retrieve context
  3. Review the answer

Bring AI into your business

Connect a useful AI capability to the applications, data and workflows you already have.

Explore the approach
02 /
Existing system → Clear interfaces → Modern capability
  1. Existing system
  2. Clear interfaces
  3. Modern capability

Move beyond legacy constraints

Modernise critical applications and platforms through practical, staged changes.

Explore the approach
03 /
Your priorities → Shared backlog → Named owners
  1. Your priorities
  2. Shared backlog
  3. Named owners

Give your project a delivery owner

Bring technical leadership and an engineering team to a clearly defined workstream.

Explore the approach

Our lead service

AI that fits your business.
A transition you can manage.

From your first practical use case to a change of model or platform, connect AI ambition with the engineering needed to make it work.

Introduce AI01 ↗

Bring AI into existing systems.

Identify a useful task. Review data readiness. Integrate knowledge search, document processing or assisted workflows, then evaluate before expanding.

Approved knowledge → Retrieve context → Review the answer
  1. Approved knowledge
  2. Retrieve context
  3. Review the answer
Migrate AI02 ↗

Move and improve what you use.

Review models, prompts, retrieval and tool integrations. Validate the target, plan compatibility changes and migrate through controlled releases.

Current model → Evaluate target → Staged rollout
  1. Current model
  2. Evaluate target
  3. Staged rollout
Human oversight. Representative evaluation. Clear data boundaries.Explore AI Migration

One connected engineering portfolio

Build. Modernise.
Keep moving forward.

AI is one part of the picture. We bring together the software, cloud, data and delivery disciplines your project needs.

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Approved knowledge → Retrieve context → Review the answer
  1. Approved knowledge
  2. Retrieve context
  3. Review the answer

AI Migration & Modernisation

Bring AI into existing systems. Move and improve the AI you already use.

User need → Build & validate → Working application
  1. User need
  2. Build & validate
  3. Working application

Custom Software & Product Engineering

Build applications, platforms and products around the work they need to do.

Current workloads → Migration waves → Cloud operations
  1. Current workloads
  2. Migration waves
  3. Cloud operations

Cloud Migration & Engineering

Move workloads with a clear plan. Build a cloud foundation you can operate.

Existing system → Clear interfaces → Modern capability
  1. Existing system
  2. Clear interfaces
  3. Modern capability

Application Modernisation & Integration

Improve the systems you depend on, one controlled change at a time.

Source records → Quality checks → Trusted information
  1. Source records
  2. Quality checks
  3. Trusted information

Data Engineering & Analytics

Make information accessible, reliable and ready for better decisions.

Code change → Automated checks → Reviewed release
  1. Code change
  2. Automated checks
  3. Reviewed release

DevOps & Platform Engineering

Give engineering teams a maintainable path from code to production.

Expected behaviour → Test evidence → Release decision
  1. Expected behaviour
  2. Test evidence
  3. Release decision

Quality Engineering & Secure Delivery

Build validation and practical security into the way software is delivered.

Operational signal → Investigate & fix → Learning & stability
  1. Operational signal
  2. Investigate & fix
  3. Learning & stability

Application Support & Continuous Improvement

Keep applications maintainable and move improvements into delivery.

Architecture advisory runs across our services—and can be scoped as a standalone assessment.

How we work

Clear scope.
Visible progress. Shared confidence.

Know what is being built, how it will be accepted and who owns the next step. Our proposed delivery approach keeps those decisions visible.

01Understand the scope02Agree the delivery plan03Build with visibility04Validate and roll out05Hand over and improve

A shared delivery plan · 1 / 5

Understand the scope

Review your goals, existing systems and constraints. Define the workstream, dependencies and responsibilities before recommending a team or delivery plan.

Map dependencies → Compare options → Decide next phase
  1. Map dependencies
  2. Compare options
  3. Decide next phase
Agreed decisions. Visible progress. Documented ownership.

A shared delivery plan · 2 / 5

Agree the delivery plan

Set priorities, milestones and acceptance criteria together. Confirm staffing, commercial terms, working-hour overlap and how decisions and changes will be handled.

Current state → Agreed boundaries → Delivery plan
  1. Current state
  2. Agreed boundaries
  3. Delivery plan
Agreed decisions. Visible progress. Documented ownership.

A shared delivery plan · 3 / 5

Build with visibility

Work in reviewable increments. Use demonstrations, progress reviews and a shared backlog to surface decisions and dependencies while there is time to act.

User need → Build & validate → Working application
  1. User need
  2. Build & validate
  3. Working application
Agreed decisions. Visible progress. Documented ownership.

A shared delivery plan · 4 / 5

Validate and roll out

Check essential behaviour and release readiness against the agreed criteria. Introduce changes in stages, with a documented rollout and rollback route.

Acceptance checks → Staged rollout → Operational owner
  1. Acceptance checks
  2. Staged rollout
  3. Operational owner
Agreed decisions. Visible progress. Documented ownership.

A shared delivery plan · 5 / 5

Hand over and improve

Transfer code, architecture decisions and operating runbooks. Agree who owns the system next, with any continuing support or improvement scoped explicitly.

Code & configuration → Checks & decisions → Runbooks & handover
  1. Code & configuration
  2. Checks & decisions
  3. Runbooks & handover
Agreed decisions. Visible progress. Documented ownership.
See our delivery approach

Experience behind the approach

Technical leadership.
Hands-on perspective.

Practical engineering experience informs our approach. Internally built work connects that thinking to a working application concept.

Explore our experience
Representative engineering workspace with application code, an architecture diagram and a system design sketch
From architecture to implementation.Representative engineering imagery.
Technical leadership experience
Existing system → Clear interfaces → Modern capability
  1. Existing system
  2. Clear interfaces
  3. Modern capability

Architecture shaped by practical experience.

Our technical direction draws on prior professional work in enterprise cloud modernisation, delivery automation and AI application engineering.

Our engineering approach
Internally built product
Documents → Semantic search → Human review
  1. Documents
  2. Semantic search
  3. Human review

From documents to useful information.

The RevSurf product explores resume processing, semantic search and sales intelligence. An internal engineering showcase, distinct from client delivery.

View the product showcase

Built around your engagement

Your project. Our ownership.
A shared way forward.

A few useful answers

Before we
start talking.

Your context → Open questions → Clear next step
  1. Your context
  2. Open questions
  3. Clear next step

Have a more specific question?
Email our team

Do we need a fully defined scope?

No. An assessment and roadmap engagement can clarify requirements, risks and the next delivery phase. If your scope is already defined, we can review dependencies, responsibilities and acceptance criteria together.

What size of engagement can we discuss?

Initial projects may involve two to five engineers over several months. The actual team, scope, dates and availability are agreed individually rather than promised in advance.

Can you collaborate with our existing team?

Yes. We can own a defined workstream or work alongside your engineering, product and delivery teams. Tools, communication, working-hour overlap and decision ownership are agreed explicitly.

How do you coordinate across time zones?

We agree working-hour overlap, communication channels and review checkpoints for each engagement. Your technical and delivery owners stay connected through a shared backlog, demonstrations and clear escalation routes.

A clear next step

Let’s build your next chapter.

Tell us what you are working on, where things stand and what needs to change.

Discuss Your Project