Build AI That Works - The First Time
End-to-end implementation with governance built in from day one. I lead every project personally, supported by hand-picked specialists. You stay involved throughout. This is a partnership, not a handover. And when we're done, you own it - no dependencies, no black boxes, no surprises.
Ready to Implement?
Implementation Projects are for businesses that know what they want to build and are ready to make it happen. You've done the planning (or you're confident enough to skip it). You have budget. You have buy-in. Now you need someone who can actually build it.
That's what I do. I lead the design and build personally. I bring in specialists I know and trust for specific capabilities. You stay involved throughout - providing business knowledge whilst I handle the technical work. And when we're done, you have something that works, that your team understands, and that you can defend to your regulator.
Perfect If...
- You've completed an AI Risk & Efficiency Audit (mine or someone else's)
- You know what you want to build and why
- You have budget and stakeholder buy-in
- You're ready to implement rather than keep exploring
- You want someone to lead it personally, not hand it off to juniors
- You need governance built in from day one
- You want to own it when it's done, not be dependent on vendors
Not Right If...
- You're still exploring what's possible (see AI Risk & Efficiency Audit)
- You have broken implementations to fix first (see AI Hangover Recovery)
- You just need ongoing support (see Governance Retainers)
- You're not ready to invest properly in doing it right
Typical Implementation Projects
Every business is different, but here are the types of implementations I build most often for professional services firms:
Client Onboarding Automation
- Automated document collection and processing
- Data extraction and system population
- Compliance checks and verification
- Client communication automation
Lead Response & Follow-Up Systems
- Intelligent enquiry routing
- Automated response generation
- Follow-up sequences
- CRM integration
Document Management & Processing
- Intelligent document categorisation
- Data extraction and validation
- Workflow automation
- Compliance and audit trails
Compliance & Reporting Automation
- Automated compliance checks
- Regulatory reporting generation
- Audit trail management
- Risk monitoring
Custom AI Agents & Workflows
- Bespoke AI agents for specific tasks
- Multi-step task automation with human review
- Integration with existing systems
- Custom logic and decision-making
Not seeing what you need? Every implementation is custom. Book a call to discuss your specific requirements.
The Implementation Process
Every project is different, but here's the typical process:
Weeks 1-2
Phase 1: Discovery & Design
What Happens
- •Detailed requirements gathering
- •Process mapping and review-point design
- •Technical architecture planning
- •Integration requirements analysis
- •Risk assessment and governance planning
- •Project timeline and milestones
Your Involvement
- •Stakeholder interviews (2-4 hours)
- •Process walkthroughs (4-6 hours)
- •Design review and approval (2 hours)
Deliverable
Detailed design document, technical architecture, project plan with milestones, risk assessment and mitigation plan
Weeks 3-8
Phase 2: Build & Integration
What Happens
- •Core system development
- •Integration with existing systems
- •The Pattrn Protocol governance implementation
- •Testing and quality assurance
- •Documentation creation
- •Security and compliance checks
Your Involvement
- •Weekly progress reviews (1 hour/week)
- •Testing and feedback sessions (2-4 hours total)
- •Edge case identification (ongoing)
Deliverable
Working implementation, integration with your systems, governance framework in place, test results and quality reports
Weeks 9-10
Phase 3: Training & Handover
What Happens
- •Team training on how it works and how to use it
- •Documentation handover
- •Knowledge transfer sessions
- •Admin and maintenance training
- •Go-live support
Your Involvement
- •Team training sessions (4-8 hours total)
- •Knowledge transfer (2-4 hours)
- •Go-live preparation (2 hours)
Deliverable
Trained team, complete documentation, maintenance procedures, no vendor dependencies
Weeks 11-14
Phase 4: Post-Launch Support
What Happens
- •30-day post-launch support included
- •Bug fixes and adjustments
- •Performance monitoring
- •User feedback collection and implementation
- •Final optimisations
Your Involvement
- •Feedback sessions (1 hour/week)
- •Issue reporting (as needed)
Deliverable
Stable system, final documentation updates, handover complete
Why Implementation Projects with Pattrn Data Work
Personal Leadership
I lead every project personally. You're not handed off to juniors. You work with me throughout. I make the key decisions. I'm accountable for the results.
The Pattrn Protocol Built In
Governance isn't an afterthought. Every implementation follows The Pattrn Protocol from day one. Transparent. Auditable. Defensible. You'll sleep at night.
The Right Tool for the Job
I don't start with a favourite model. I start with the job, the data, the risk and the people using it. Sometimes that means OpenAI. Sometimes Claude, Gemini, Copilot, a private model, or no AI at all.
Partnership, Not Vendor Relationship
You're involved throughout. You provide business knowledge. I handle technical work. This is collaborative, not transactional. Because you know your business better than I ever will.
No Dependencies
When we're done, you own it. Your team can maintain it. You're not locked into paying me (or anyone) for basic operations. Complete knowledge transfer is standard.
Human-Centred Design
I start with your team, your clients and the jobs causing drag, not with what looks impressive in a demo. If it does not work for real humans doing real work, it does not work. Period.
Honest Timelines and Pricing
I don't underpromise to win the work. I give you realistic timelines and honest pricing. If it's going to take 10 weeks and cost £30K, I'll tell you that upfront.
Investment & Expected Returns
Every project is custom, so pricing varies based on complexity, integrations, and timeline. But here's what to expect:
Small Implementation
4-6 weeks
- Single process or client journey
- 1-2 integrations
- The Pattrn Protocol included
- 30-day post-launch support
Example: Lead response automation
Medium Implementation
6-10 weeks
- Multiple processes or complex client journey
- 3-5 integrations
- The Pattrn Protocol included
- 30-day post-launch support
- Team training included
Example: Client onboarding automation
Large Implementation
10-16 weeks
- Complex multi-step processes
- Multiple integrations
- Custom AI agents
- The Pattrn Protocol included
- Extended post-launch support
Example: End-to-end compliance automation
Expected Business Case
I will not invent ROI figures before discovery. We agree the baseline, measurable operational changes and evidence needed before any business-case number is used publicly or internally.
What's Included (No Extra Cost)
- The Pattrn Protocol governance framework
- Complete documentation
- Team training on how it works and how to use it
- 30-day post-launch support
- Knowledge transfer (no dependencies)
- Project management
Not Included
- Ongoing support after 30 days (see Governance Retainers)
- Third-party software licences
- Additional training beyond standard handover
Common Implementation Patterns
These are typical professional-services patterns, not claimed client case studies. Approved outcomes are published only when the client, proof points and measurement method are agreed.
Financial advisory firms
The Challenge
Client onboarding often depends on manual document chasing, repeated data entry and slow handoffs between advice, admin and compliance.
The Implementation
A governed build can connect document collection, data extraction, CRM updates and compliance checks with clear human review points.
Proof to Gather
- Baseline onboarding steps before automation
- Where human approval stays in the process
- How client data is handled and audited
- What will be measured before any result is claimed
Law firms
The Challenge
Document-heavy legal work can create avoidable admin load, inconsistent retrieval and uncertainty about audit trails.
The Implementation
A governed implementation can combine document categorisation, matter routing, audit trails and SRA-conscious operating controls.
Proof to Gather
- Document types and risk boundaries
- Review stages owned by qualified staff
- Audit trail requirements
- Measured changes after deployment
Accountancy practices
The Challenge
Recurring client communication, deadline tracking and seasonal workload can become hard to scale without adding headcount.
The Implementation
A practical build can automate reminders, recurring task management and client communication while keeping exceptions visible.
Proof to Gather
- Client communication rules
- Exception handling and escalation paths
- Deadline and task ownership
- Capacity impact measured against a real baseline
Frequently Asked Questions
Ready to Start Your Implementation?
Implementation Projects start with a discovery call to understand your requirements, assess feasibility, and provide honest pricing and timeline estimates. Book a discovery call and I'll tell you honestly whether I'm the right fit for your project - even if it means no sale.
Discovery Call (Free)
30-60 minutes to discuss requirements, assess feasibility, provide ballpark timeline and pricing, and decide if we're a good fit.
Detailed Proposal
If we're a good fit, I'll create a detailed proposal with specific timeline, exact pricing, deliverables and success criteria. No obligation to proceed.
Project Kickoff
If you accept the proposal, we start. Discovery & Design phase begins. Regular communication throughout. Collaborative partnership.
Why Work with Me?
I've spent 10+ years in the corporate world watching companies waste millions on AI projects that never delivered. I started Pattrn Data because I saw small and medium businesses struggling with the same problems - they couldn't afford the big consultancies, and the cheap off-the-shelf tools didn't work for real humans.
I lead every implementation personally. I bring in specialists I trust for specific capabilities, but I'm accountable for the results. I build with The Pattrn Protocol because I believe AI should be transparent, auditable, and defensible, not merely impressive in demos.
And when we're done, you own it. Your team understands it. You can maintain it. You're not dependent on me or anyone else. That's the point.