AI implementation sprint
One high-impact AI use case. Properly built. Live in two to six weeks.
From £5,000 scoped and fixed
From opportunity to outcome
Most organisations know AI can help. Some have even identified where. The gap is nearly always the same: moving from knowing what to do to actually doing it, without the project ballooning in time, cost and complexity.
The AI Implementation Sprint is designed to close that gap. We take one well-defined use case and build it properly, working within your existing systems, with a clear scope, a fixed price and a realistic timeline.
This is not a proof of concept that lives in a spreadsheet. It is a working solution that your team can use from day one.
What kind of work does this cover?
AI is not replacing the strategic thinking that good digital experience work requires. But it is making every stage of the process sharper, quicker and more evidence-based.
Legal and professional services
• AI-powered document search and knowledge retrieval systems
• Contract analysis and summarisation tools for fee-earner efficiency
• Client-facing AI assistants trained on practice area knowledge
• Automated reporting and matter management data pipelines
Financial services
• Intelligent data aggregation and client reporting automation
• AI-assisted compliance monitoring and flagging systems
• CRM enrichment and lead scoring automation
• Personalised client communication workflows driven by behavioural data
Property and construction
• Portfolio data automation and performance dashboards
• AI-enhanced property search and recommendation tools
• Automated customer journey communications triggered by project milestones
• Supplier and contractor data integration and analysis
Across all sectors
• Answer engine optimisation (AEO) strategy and implementation
• Content intelligence and SEO automation pipelines
• Internal knowledge base and team productivity tools
• CRM and pipeline automation using AI-driven triggers
How the sprint works
Week 1
Scoping and design
We define the use case precisely, agree the success criteria, map the data and systems involved and confirm the delivery approach. You will know exactly what is being built before a line of work is done.
Weeks 2–4
Build and test
Development and configuration work happens here. I work within your existing tech stack wherever possible to avoid unnecessary new platforms or licences. Regular check-ins keep you informed without pulling your team into every detail.
Final week
Handover and enablement
The solution is handed over with documentation and a practical session for the people who will use it day to day. I do not disappear after delivery. If issues surface in the first two weeks, I deal with them as part of the engagement.
What makes this different
There is no shortage of people who will take your money to explore AI with you. This is not that.
- Fixed scope, fixed price: agreed upfront, no surprises
- Senior delivery: I do the work, not a team of contractors working from a brief
- Integration-first: built into your existing systems, not alongside them
- Commercial focus: the use case is chosen because it saves or makes money, not because it is technically interesting
- No platform dependency: I am not tied to any vendor, so the recommendation is always the right tool for the job
Timelines and investment
Scope, timeline and price are agreed before the sprint begins. Typical parameters are:
- Timeline: two to six weeks depending on complexity
- Investment: from £5,000 for a contained, well-defined use case
- Larger sprints: typically £8,000 to £15,000
The best way to arrive at a sprint is via the AI Opportunity Audit, which ensures the use case chosen is genuinely the highest-value starting point. That said, clients who already have a clear brief and want to move straight to build are welcome to do so.
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Not sure where to start?
Most clients begin with a conversation. No pitch, no hard sell.
Just a straightforward discussion about where you are and whether I can help.
“Halo Financial have been working with Brian for over 8 years. Over the past four years Brian has been closely involved with our online strategy and general online consultancy.”