Services
From first idea to a system that runs.
Five services from one team, so strategy and engineering stay connected. Each one starts from a business problem and ends with something your team can use.
AI Strategy & Consulting
Find where AI will make a measurable difference in your operations, and decide what to build first.
Business problem
You can see that AI could help, but not where to start or which investment should come first.
What we do
- Review your current workflows, systems and data with the people who run them.
- Identify AI opportunities and compare them by expected value, effort and risk.
- Recommend a first project and what can wait until later.
Expected deliverables
- A summary of the workflows, systems and data we reviewed
- A prioritized list of AI opportunities
- An initial roadmap with a suggested first project
Constraints
- Value estimates are planning assumptions, not guaranteed results.
- Recommendations are only as complete as the access to people, systems and data you can give us.
Custom AI Development
Applications built on your data and shaped around how your team works.
Business problem
Off-the-shelf tools do not cover the parts of your business that work differently.
What we do
- We design and implement AI applications, internal assistants, document tools and agents around your workflows.
- Build on your own data, with permissions that match who should see what.
- Add human review (Human-in-the-Loop: a person checks the result before it is used) wherever accuracy matters.
Expected deliverables
- A tested application or assistant for the agreed scope
- Source code and technical documentation
- Handover notes for the people who will run it
Constraints
- AI output can be wrong, so sensitive steps keep a person in review.
- Scope, timeline and cost are set in a Scoped Proposal after Technical Discovery.
- What the system can do depends on the quality and availability of your data.
Workflow Automation
Move repetitive, rules-heavy steps to software, with a person reviewing what matters.
Business problem
Your team spends hours re-entering data, chasing approvals and forwarding information by hand.
What we do
- Map each step of a workflow and agree which ones software should handle.
- Automate tasks, document handling, approvals and notifications.
- Define where a person reviews the work and what happens when something unexpected arrives.
Expected deliverables
- An automated workflow for an agreed process
- Defined human review points and exception handling
- Notes describing how the workflow behaves and how to change it
Constraints
- Not every step should be automated; judgement calls stay with your team.
- Automation relies on stable inputs, so changes to source systems may need updates.
Systems Integration
Connect AI to the CRM, ERP, inbox and document stores you already rely on.
Business problem
Your software and business data sit in separate systems that do not talk to each other.
What we do
- Check which of your systems can be connected, and how.
- Connect them to AI through APIs (the interfaces software uses to exchange data): CRM, ERP, databases and other business software.
- Document how data moves between systems.
Expected deliverables
- A compatibility review of the systems in scope
- Working integrations for the agreed systems
- Documented data flows
Constraints
- What we can connect depends on what each system’s API and licence allow; we confirm this before committing.
- Some third-party platforms cannot be connected, or need access from their vendor.
Flexible Deployment & Support
Run it locally, in the cloud, or across both, and keep it maintained after launch.
Business problem
You need control over where your data lives, a budget that fits, and someone to keep the system running.
What we do
- Recommend a Local, Cloud or Hybrid Deployment Pattern based on your data and operating requirements.
- Deploy the system into the chosen environment and support go-live.
- Maintain and support the system after launch.
Expected deliverables
- A deployment plan for the chosen pattern
- A deployed system and go-live support
- A support and maintenance plan
Constraints
- The final Deployment Pattern is only decided after Technical Discovery.
- Ongoing support is scoped and quoted separately.
Not sure which service fits?
Tell us about the workflow you want to improve. We will tell you whether and how we can help.