Automate the work trapped between your university's systems.
NetEvolution builds governed AI workflows for UK universities — sensitive student data, fragmented platforms and no appetite for a risky rip-and-replace. Delivered by the engineers currently integrating Salesforce, SITS and Canvas for the University of London.
- Real Code Ltd · UK company no. 08919593 · est. 2014
- Higher education delivery record — named clients, stated results
- Controls mapped to Cyber Essentials & ISO 27001 — not currently certified
The shift is already happening
UK organisations are moving from AI experiments to operational systems.
35%
of UK businesses with 10+ employees use AI
ONS reported in July 2026 that 35% of UK businesses with 10 or more employees used at least one AI technology in June 2026 — but average adoption depth was only 1.6 technologies per adopting business. Over 60% of larger businesses reported using AI to improve operations.
65%
adopt for efficiency
DSIT's February 2026 AI Adoption Research found that 65% of current or prospective adopters cited efficiency or productivity as a reason to adopt or expand AI — operational gain, not novelty.
The gap is execution
Most organisations are stuck between isolated tools and dependable systems. That gap — integration, governance and operability — is exactly where NetEvolution works. ONS source · DSIT research
What we build
Services engineered around outcomes, not demos.
Agentic Workflow Automation
Multi-agent systems that handle administration, document flows and CRM workflows end to end — reasoning through edge cases instead of breaking on them.
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Secure Localised LLMs
Open-weight language models deployed inside your own cloud tenant or on-premise hardware, so knowledge retrieval stays within agreed data boundaries.
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AI Infrastructure & Integration
Resilient integration layers connecting isolated CRMs, service platforms and bespoke APIs into pipelines that agents and teams can rely on.
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Legacy System Modernisation
A pragmatic path from fragile legacy estates to AI-ready architecture — without a risky big-bang replacement programme.
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Beyond chatbots
The agentic advantage
Multi-agent orchestration
Specialised AI workers that collaborate, reason and execute complex business logic — coordinated as a system, not a pile of scripts.
Private deployment
Models and pipelines run inside your tenant or infrastructure, reducing third-party exposure and keeping proprietary data within agreed boundaries.
Human-in-the-loop governance
High-stakes actions — payments, external communications, record changes — pause for human approval. Autonomy where it is safe, oversight where it matters.
Legacy bridging
We connect the systems you already run — CRMs, LMS platforms, bespoke APIs — into a unified, intelligent data pipeline rather than demanding a rip-and-replace.
How engagements run
A controlled path from friction to production.
01
Find the friction
We map the manual work, handoffs and system gaps costing your teams time — then quantify where automation will genuinely pay back.
02
Design the control plane
Before any agent runs, we define permissions, approval gates, logging and rollback paths so the system is governable from day one.
03
Prove value safely
A scoped pilot on a real workflow, measured against agreed operational criteria — not a demo built to impress.
04
Scale what works
Proven patterns are hardened, documented and extended across the estate, with your team able to operate what we build.
Delivery evidence
A record you can verify.
University digital campus integration
A near-real-time Azure Service Bus architecture synchronising Salesforce, SITS student records and Canvas for the Global Digital Campus programme — with a custom observability dashboard for queues and dead-letter recovery.
University systems modernisation
Twenty-plus applications integrated, a legacy QL-to-SITS student records migration with minimal downtime, and a data warehouse feeding Power BI.
Student workflow automation
A coursework extension system that let staff process applications 40% faster and improved administrative efficiency by 30% — measured by the institution.
Delivered by Brad McAllister, founder of Real Code Ltd — the person who leads your engagement is the person named on this record.
Governance & security
Autonomy with an audit trail.
Every system we ship is designed for scrutiny: scoped permissions, human approval gates on consequential actions, full action logging and architectures that keep data within agreed boundaries. Our own controls are mapped to Cyber Essentials and ISO 27001 practices — we are not currently certified, and we say so plainly.
Our governance approach- Human approval on high-stakes actions
- Full action & decision logging
- Data kept within agreed boundaries
- Scoped, least-privilege agent access
Common questions
Frequently asked questions
What is agentic AI?
Agentic AI refers to systems where language models plan, use tools and take multi-step actions towards a goal, rather than answering a single prompt. In a business context, agents can process documents, update records and coordinate workflows — provided they are wrapped in permissions, logging and human approval gates.
Where should a UK organisation start with AI automation?
Start with one high-volume, rule-tolerant process that already has clear inputs and outputs — document handling, triage or data synchronisation are typical. A short architecture review identifies where automation pays back fastest and where human oversight must remain, before any build begins.
Can agentic AI work with our legacy systems and SITS?
Yes. Agents connect through APIs, message queues, database views or controlled browser automation, so modern AI can sit on top of older CRMs, ERPs, and SITS estates. We assess each system's interfaces first and design an integration layer that respects its limits.
How is our data kept secure?
We deploy models inside your own cloud tenant or on-premise infrastructure so sensitive data stays within agreed boundaries, reducing third-party API exposure. Access is scoped per agent and every action is logged. Our own controls are mapped to Cyber Essentials and ISO 27001 practices; we are not currently certified and will say so plainly in any procurement review.
What does a first engagement look like, and what does it cost?
A fixed-scope AI architecture review: ten working days mapping your processes, systems and data flows with your operations and IT teams. You receive a prioritised automation roadmap, a risk register and a scoped pilot proposal with a fixed estimate. Reviews are priced from £7,500 + VAT, quoted after a short scoping call.
Start the conversation
Find out where agentic AI pays back in your operation.
A fixed-scope AI architecture review — ten working days, a named engineer, and a prioritised roadmap you can act on whether or not you proceed with us. from £7,500 + VAT.