GenAI Potential Sparker
Embrace the GenAI Revolution: Prepare Your Organisation for Tomorrow
Leverage the transformative potential of Large Language Models to overhaul your content strategies, compliance frameworks, and decision-making capabilities, boosting business operations efficiency, employee retention and customer satisfaction, ultimately fostering a culture of innovation.
“EVERYBODY KNOWS how to use GenAI”
Well, we had to say a lot of NOs.
NO to letting AI define your strategy
NO to AI-created schedules/ budgets/ planning
NO to LLM-powered math or reasoning
YES to extracting information and cross-referencing
YES to brainstorming facilitation and rewording brain dumps
YES to condensing multiple sources of information/ summarisation
The amazing opportunity to run far ahead of the market
We can assist you in evaluating the opportunity of using GenAI for your specific organisation and goals. We will help you evaluate your processes and goals fit with various GenAI tools and platforms.
Phase 1: Free · 1-2 calls
Mandatory Audit & Discovery
Skipping this step is how budgets get misjudged and projects fail from day one.
01
Problem owners interviews
We meet the people who feel the pain daily: Regulatory Affairs, Compliance, QA, Operations, Credit Risk. Not just sponsors. Format adapts to your resources: a few calls or in-person sessions.
02
Workflow & data mapping
We map how work actually happens, where decisions are made, where data breaks, and who owns what. Most organisations don’t fully understand this until someone asks the right questions.
03
Feasibility & scenario design
We identify 2-3 high-potential scenarios, assess technical and organisational feasibility, and define indicative budget ranges before any investment is committed.
Skipping discovery is the most expensive decision you’ll make.
What we typically find
- The stated problem is rarely the real problem
- Costs are routinely misattributed to the wrong process
- Ownership gaps exist nobody has acknowledged
- The same task is performed differently across teams
- Nobody has a full picture of the end-to-end process
What happens without it
- Solutions built on wrong assumptions
- Budget allocated to the wrong workflow
- Organisational resistance: nobody was consulted
- AI amplifies the chaos instead of resolving it
- Project declared a failure 6 months in
AI exposes organisational dysfunction immediately. We surface it first – on purpose.
Phase 2: Reality-Based Design Sprint
The Sparker: not a prototype. A working system.
Two options. One methodology.
Rapid Sparker
1-2 workflows · 1 month
- →Focused user group
- →Audit & feasibility
- →Working prototype
- →Implementation brief
From
GBP 10,000
Full Sparker
3-5+ workflows · 3 months
- →Cross-functional teams
- →Deep org & data audit
- →Full iterated prototype
- →Board-ready readout & ROI
From
GBP 50,000
Deliverables
Two concrete outputs. Both immediately usable.
01
Diagnostic report
- Process map: how work actually flows today
- Root cause analysis of top bottlenecks
- 2-3 validated use case scenarios
- Organisational readiness assessment
- Indicative budget ranges per scenario
- Recommended next steps with clear rationale
02
Personalised prototype
- Configured on the live VerbalEaze platform
- Built around your actual documents
- Tested by your real users
- Covers 1+ validated workflows end-to-end
- Human-in-the-loop: experts remain in control
Not a demo. A working system.
After the Sparker, you have everything you need to make a confident decision – or move straight into implementation.
What happens after a GenAI Potential Sparker?
Sparker → Implementation → Operations
Understand
GenAI Potential Sparker
Weeks
- Including Free Audit & Discovery phase
- Validated use case scenarios
- Diagnostic report + business case
- Personalised prototype on VerbalEaze
Deliver
AI Agile Implementation
6-12 months
- System implementation via integrators
- Value quantification + technical validation
- Risk identification + rapid dev cycles
- User-centric, data-driven, continuously validated
Scale
Operations & MLOps
Ongoing
- System integration + monitoring
- Model and output quality monitoring
- MLOps enablement: reliable, auditable operations
- Continuous improvement loops
Principles: Not all problems need AI · Product thinking over hype · Human-in-the-loop by design · Measurable ROI at every step
How to Get Started
Do you want to know more about our services? Fill out the form below to express your interest, and our team will be in touch with you shortly.