// services
Six disciplines. One team responsible for the whole system.
Software, AI, data, security and support cannot be managed in isolation. We bring them together so one team is responsible for the operating result. Enter wherever your situation demands — many engagements draw on all six.
// shape
Turn an idea into an understood system.
AI made prototyping so easy that proper analysis often gets skipped. If a project has outgrown its beginnings, we can put the missing foundations in place: clear requirements, process maps, system boundaries, security needs and a practical delivery plan.
This is also where we start when nothing has been built yet and the idea deserves better than a guess.
- clear business requirements
- current & future process maps
- a practical solution design
- security, data & integration requirements
- a delivery roadmap with clear acceptance criteria
// productionise
A working prototype is not a production system.
This is the gap we exist to close. We take prototypes, proofs of concept, partial builds and half-finished projects and make them dependable — then carry them through testing, deployment, migration and rollout to real users.
Done means operated, documented, integrated, recoverable — and adopted. Not just deployed.
- complete & strengthen the software
- test it for real-world use
- deploy it safely & reliably
- connect identity, data & existing systems
- document it, train users & establish support
- put backup, recovery & continuity in place
// operate
Dependable day-to-day operation for custom software and AI.
Once a system is business-critical, it deserves the operating discipline managed IT services have applied to infrastructure for decades: a service desk that answers, monitoring that notices, incident and change management that keep the service stable, controlled and predictable. We apply those mature disciplines to custom applications and AI systems.
Where vendors exist, we escalate to them. Where they don't, the escalation path ends with us — which is the point.
- service desk & user support
- incident & problem management
- monitoring & alerting
- patching & maintenance
- backup, recovery & continuity
- vendor escalation
// connect
Connect your systems, data and workflows.
The complexity of a modern technology environment comes from the dependencies between systems, not the number of them. We build and manage those connections — integrations, data flows, shared AI services — so scattered projects behave like one coherent system instead of disconnected islands.
We help the organisation share approved AI services instead of each team buying and building its own. That improves control, reduces duplicated cost and makes successful capabilities reusable.
- connect applications, AI tools & workflows
- create shared, governed AI services
- control who & what can access each system
- manage dependencies so changes don't break the wider service
- monitor the complete end-to-end workflow
// govern & secure
Controls that actually run.
AI governance is not a policy document. It has to exist as operational, technical, auditable controls — who can use which AI services, what data can flow where, which systems an AI agent may touch, and where a human has to approve. We implement it that way, alongside the conventional security fundamentals it depends on.
Security fundamentals
- secure sign-in & access control
- encryption & secrets management
- security monitoring & audit logging
- data classification & loss prevention
- privacy, retention & data residency
AI governance
- control which AI services people may use
- protect sensitive information & prevent data leakage
- set clear access & approval boundaries
- keep an auditable record of AI activity
- identify & manage unapproved AI use
// optimise & evolve
Better every quarter. Not just alive.
Managed services should improve the system over time, not merely keep it running. We treat cost, performance, reliability and capability as things to be actively managed.
AI usage and cloud costs can rise quickly without active management. We monitor and optimise them as the service evolves.
- AI & cloud cost management
- choosing & routing AI models for cost & quality
- performance & reliability improvement
- security & dependency updates
- reducing accumulated shortcuts & maintenance risk
- ongoing feature enhancement
// smaller ways in
Not ready to hand over the whole estate? Start here.
Four packaged services — each one delivers value on its own, fast, and each is a natural on-ramp to everything above.
AI Supercharge
Pick one person — or a small team — and we'll fully power them up: connect them to the best AI tools, wire those tools into their systems and their data, and train them in the practices that actually work. Then we keep them running: supported, secured, backed up, with the AI costs managed. One supercharged operator, without the organisation-wide programme.
GroundWork Discovery
AI-driven mapping of your business. Give us a person or a team and we'll chart their current state: the processes, the systems they touch, the seams between them, and the places where automation would pay off — visualised at a level the whole business can use. The kind of mapping that has traditionally been slow and expensive, heavily automated. It ends in a roadmap. Then we take you there.
Agent Management
You've built AI agents — maybe quite a few. We manage the fleet: monitor them, keep their access controlled and their behaviour inside the lines, watch what they cost, retire the ones no longer earning their keep, and support the people who depend on them.
Seam Management
You have more systems than ever — where do they intersect? Is there overlap? Are two teams quietly solving the same problem? Is there still a single source of truth, and does everyone actually use it? Do your teams share a common language for the business? We manage the seams: the places where systems and teams meet, where duplication hides and value leaks away.
// platforms we manage
The platforms you know. And the custom systems between them.
Geidi manages established cloud and business platforms alongside the custom applications, integrations and databases that connect them. The value is not a list of technologies — it is having one team responsible for how the whole environment works.
Microsoft cloud and business systems
We have managed Microsoft platforms for decades. Today that includes Microsoft 365 tenants, Microsoft Azure environments, SharePoint, Dynamics 365 and the Power Platform — Power Apps, Power Automate and Power BI — together with the identity, security, integrations, monitoring, support and ongoing improvement around them.
Amazon Web Services
We manage Amazon Web Services (AWS) environments supporting custom applications, integrations, data and AI. That includes security, monitoring, reliability, backup, cost management and the ongoing changes required to keep the environment useful.
Data platforms
We design, connect and operate data warehouses, lakes and lakehouses using platforms such as Microsoft Fabric, Databricks and Google BigQuery. We also manage the pipelines, integrations, security and day-to-day operations that keep the information reliable and ready for reporting, automation and AI.
Custom software and databases
We take responsibility for custom full-stack applications, APIs, automations and integrations — including systems built on PostgreSQL (Postgres) and Microsoft SQL Server. Geidi does not need to have built the system originally: we can inherit it, understand it, strengthen it and operate it for the long term.
// start here
Bring us the system, the idea, or the project that needs untangling.
Tell us where you actually are — prototype in hand, project stalled, systems sprawling — and we'll tell you honestly where we'd enter and what we'd take responsibility for.