Human review by design
The system should prepare, route, summarise, and draft. It should not quietly make regulated decisions without a person responsible for the judgement call.
AI systems · regulated teams · built properly
AI systems for
regulated businesses.
We design and build practical AI workflows for law, immigration, property, and compliance-heavy teams — so you can reduce manual work without relying on fragile AI wrappers.
Founder-led by Ashkan Gholizadeh: lawyer, full-stack developer, and AI systems builder.
The problem
Regulated businesses are drowning in manual work.
The real bottleneck is not AI access. It is turning sensitive, expert-led work into structured systems that people can trust.
01
Client intake is slow and repetitive
Teams waste hours collecting the same information, checking eligibility, chasing missing details, and manually preparing first-stage assessments.
02
Generic AI is too risky
ChatGPT-style tools are useful, but regulated businesses need structured workflows, human review, audit trails, safer prompts, and clear boundaries.
03
Your expertise is trapped in people’s heads
Your best processes, judgement calls, and client-handling knowledge are not captured in a system that can scale.
Built around trust, not hype
AI is useful only when
the system is safe.
The contrarian view is simple: most businesses do not need a flashy AI wrapper. They need a carefully bounded operating system for the work their team already does.
Clear system boundaries
Good AI workflows know what they can do, what they cannot do, when to ask for more information, and when to hand work back to the team.
Structured data and workflows
AI becomes useful when it sits inside a real process: intake forms, databases, permissions, status changes, templates, audit trails, and review points.
Secure architecture
Regulated businesses need sensible handling of client data, authentication where needed, and architecture that can grow beyond a prototype.
No fake AI magic
We avoid vague agent theatre. If a simpler workflow, rules engine, or human checkpoint is the safer choice, that is what gets built.
Built for real operations
The system has to survive busy staff, messy inputs, incomplete documents, changing instructions, and the ordinary friction of service businesses.
Deliverables
What Operisys builds.
Practical AI infrastructure for businesses where accuracy, review, privacy, and process matter. The point is not to sprinkle AI over a workflow. It is to redesign the workflow so AI has a proper job to do.
Explore servicesTypical system shape
1Structured intake
2Data validation
3AI summarisation
4Human review
5CRM or case system handoff
AI Intake & Qualification Systems
Smart intake flows that collect client details, assess fit, summarise cases, and route users to the right next step.
- Immigration eligibility pre-screening
- Legal enquiry qualification
- Property/conveyancing intake
- Expert-service onboarding
AI Workflow Automation
Internal AI workflows that help teams summarise information, prepare drafts, classify cases, extract key details, and reduce repetitive admin.
- Document summary
- Case triage
- Client update drafts
- CRM/workflow automation
AI Website & Agent Visibility
Make your business easier for search engines, AI assistants, and future agents to understand through structured content, schema, service pages, and answer-ready positioning.
- AI-ready service pages
- Schema markup
- FAQ/answer engine content
- Local/service SEO improvements
Secure MVP Build
For founders and expert businesses that need a real AI-enabled product, not a fragile demo. We build structured MVPs with authentication, database design, safe AI flows, and scalable architecture.
- AI SaaS MVP
- Internal tools
- Client portals
- Document/intake platforms
The process
How it works.
A practical build process for high-trust work: understand the operation, set the boundaries, then build the system.
- Step 1
Map the workflow
We identify where manual work, repeated judgement, document handling, client updates, and intake friction slow the team down.
- Step 2
Define the safe AI role
We decide what AI should draft, classify, summarise, or route — and where human review, audit trails, and clear boundaries are required.
- Step 3
Build, test, and hand over
We implement the workflow, connect the necessary data and interfaces, test edge cases, and hand over something your team can actually operate.
Pricing
Start with a focused AI Systems Audit.
Pricing depends on the workflow, risk profile, integrations, and whether the system needs authentication, database design, or human review.
AI Systems Audit
from £750
A focused assessment of where AI can safely reduce manual work.
- Workflow analysis
- AI opportunity map
- Risk and feasibility review
- Recommended system architecture
- Implementation roadmap
Best when you need clarity before committing budget to implementation.
Book a consultationRecommended
AI System Build
from £3,000
Design and build a practical AI workflow or internal system.
- AI workflow design
- Frontend/backend implementation
- Database and auth setup where needed
- Prompt and guardrail design
- Testing and handover
Scoped around the workflow, risk level, integrations, and review requirements.
Book a consultationMonthly Improvement Partner
from £750/month
Ongoing improvement for teams already using AI systems.
- Ongoing improvements
- Monitoring
- New workflow additions
- SEO/AI visibility improvements
- System optimisation
Useful when your workflows, content, or system requirements keep evolving.
Discuss ongoing supportAll prices in GBP, exclusive of VAT where applicable. No fixed outcome guarantees, no exaggerated AI promises, and no demo-only wrappers passed off as infrastructure.
The operating principle
Practical AI beats demo theatre.
Operisys builds systems with structure: clear inputs, secure data handling, review points, failure paths, and outputs that fit the way your team already works.
Read the Operisys method →Credibility will be added carefully.
We won't fake testimonials, invent regulated-industry logos, or imply client outcomes we cannot prove. Case studies will appear only when they are real and permissioned.
Fit check
Who this is for.
The best fit is a business with valuable expertise, repetitive workflows, and a real need to make AI dependable.
Good fit
Not a fit
Good fitImmigration, legal, property, or compliance-heavy service teams
Not a fitBusinesses looking for a generic chatbot pasted onto a website
Good fitManual intake, document review, triage, drafting, or client-update bottlenecks
Not a fitTeams expecting AI to replace professional judgement
Good fitExpert-led businesses where accuracy and trust matter
Not a fitProjects with no clear owner, process, or implementation budget
Good fitFounders who need a secure AI-enabled MVP or internal tool
Not a fitRequests for hype-heavy demos with no operational use
Good fitTeams ready to capture their process in a system that can improve
Not a fitOne-off prompt packs with no workflow, data model, or review design
Who runs this
Operisys is run by Ashkan Gholizadeh — a lawyer, full-stack developer, and AI systems builder. The company exists for businesses where AI needs to be useful, structured, and safe — not just impressive in a demo. Ashkan combines legal reasoning, product thinking, and hands-on engineering to design systems that fit real operational workflows.
Current focus: AI infrastructure for immigration, legal, property, and regulated service businesses. Alongside Operisys, Ashkan is building GHK Global, an AI-powered immigration platform.
Questions
Frequently asked.
If your question isn’t here, email us. We reply within 24 hours.
Build AI systems your business
can actually trust.
If your team handles complex enquiries, documents, cases, or client workflows, Operisys can help you turn that expertise into practical AI infrastructure.