Real operating pain
A topic starts with a repeated customer, staff, admin, sales, or decision problem that a service business already feels.
Bradley Fernandes / Practical AI adoption
I test practical AI workflows and publish what is worth trying.
I publish the AI Opportunity Brief: one practical AI opportunity every two weeks for hospitality and service businesses. Each issue starts with a real operating problem and ends with a first test a business can actually run.
If you run or advise a service business, the brief is the simplest way to see what is actually useful before booking a free AI Opportunity Audit.
AI Opportunity Brief
Free / every two weeksA short field note for operators who want AI to save time, improve customer experience, or make the business easier to run.
ProblemWorkflowFirst test
Best forRestaurants, pubs, hotels, trades, recruitment, property, and professional services.
How issues are chosen
The newsletter is selected from operating signals, not AI headlines.
The goal is not to cover every AI tool launch. The goal is to find service-business workflows where AI can save time, reduce friction, improve customer experience, or create a clearer decision for the owner.
Visible enough to verify
The signal should show up in reviews, websites, booking flows, owner conversations, trade forums, job ads, or tool adoption.
Small enough to test
Each issue must end with a first experiment a business can run before buying a platform or redesigning everything.
Human judgment stays clear
The brief should name what AI can handle, what must escalate, and where customer trust or commercial judgment matters.
Applied decision system / AI Opportunity Audit
AI becomes useful when it is attached to a real operating problem.
The audit starts with how the business actually works: where customers wait, where staff repeat themselves, where information gets stuck, and where small frictions keep compounding.
Customer experience
- Signal
- Customers wait, repeat themselves, or drop off before booking.
- System
- AI-assisted enquiry, FAQ, review, and follow-up workflows.
Operations
- Signal
- Teams lose time to manual admin, handoffs, and repeated coordination.
- System
- Workflow maps, approved-answer libraries, and simple automation tests.
Decisions
- Signal
- Owners have data, messages, reviews, and notes but no weekly operating view.
- System
- AI-generated operating briefs that highlight what changed and what needs action.
Free newsletter / Every two weeks
The AI Opportunity Brief for hospitality and service businesses.
A narrow field note for owners and operators who want practical AI use cases, not another abstract AI sermon. Each issue breaks down one opportunity: the workflow, the tools, the tradeoff, and the first test worth running.
Stop answering the same customer questions manually
Turn missed follow-up into booked revenue
Use AI to find operational friction hiding in reviews
Experience
Why I can spot operating friction quickly.
My background spans Okta, Yokoy, Qualtrics, Oracle, and SAP: enterprise customers, partner strategy, implementation governance, adoption, and workflow change. That is why the audit starts with how work actually moves, not with a list of AI tools.
Enterprise delivery, partner services, SaaS platforms, and cloud systems.
EMEA partner delivery ecosystem scope at Okta.
GSIs to boutique firms governed through delivery assurance.
Qualtrics customer success and value realization ownership.
Partner services portfolio owned across EMEA at Yokoy.
Concurrent partner-delivered projects overseen during peak delivery.
Method behind the brief
The reader gets the useful bit, not the machinery.
Behind the scenes, I use a Customer Zero workflow to collect signals, test practical AI ideas, and turn what survives into field notes and audit prompts. The public promise stays simple: one operating problem, one workflow, one first test.
Signals
Look for repeated friction in reviews, enquiries, staff handoffs, admin, and owner decisions.
Test
Pressure-test whether AI can help safely without replacing commercial or customer judgment.
Publish
Turn the clearest pattern into a practical brief and use replies to choose the next issue.
Operating track record
The common thread is adoption.
Each role has sat in the middle where strategy, technology, customers, partners, and delivery constraints have to become an operating model people can actually run.
Partner Delivery Assurance Lead, EMEA
Owns the design and execution of Okta's EMEA partner service delivery ecosystem across approximately 40 partners and a region generating roughly $400M ARR.
Business problem
Strategic accounts and partner-led implementations need consistency across a heterogeneous ecosystem without slowing regional growth.
Operating move
Built the delivery assurance layer: metrics, governance, escalation paths, and partner enablement patterns.
Business impact
Improves delivery predictability across a large EMEA ecosystem while protecting adoption quality and account outcomes.
Partner Services & Delivery Lead, EMEA
Owned a $4M partner services portfolio, overseeing delivery quality, risk, and escalations across up to 60 concurrent projects per quarter.
Business problem
A fast-changing post-acquisition environment needed delivery stability across partners, customers, and internal leadership.
Operating move
Created SOPs, escalation rhythms, scope controls, and joint execution models during the TravelPerk integration.
Business impact
Protected customer delivery while the organization changed around the operating model.
Principal Customer Success Consultant / Sales Solutions Architect
Operated at the intersection of sales intent and delivery reality, owning a $5M strategic book of business with responsibility for onboarding and value realization.
Business problem
Enterprise customers needed platform adoption that survived the gap between sales intent and implementation reality.
Operating move
Translated customer goals, partner commitments, and solution constraints into executable value-realization plans.
Business impact
Improved confidence in onboarding, adoption quality, and sustained platform usage across a strategic book.
Cloud Technology Consultant
Led discovery and PoC engagements across SaaS, PaaS, and IaaS for UKI mid-market customers.
Business problem
Mid-market customers needed cloud architecture choices that would not create downstream delivery risk.
Operating move
Aligned discovery, PoC design, and technical architecture with customer constraints before implementation.
Business impact
De-risked solution paths before commercial and delivery commitments hardened.
SuccessFactors Consultant / Partner Delivery & QA Lead
Served as QA lead for partner-led SuccessFactors implementations across recruiting, compensation, and core HR systems.
Business problem
Partner-led HR transformations needed implementation reliability during high-impact go-lives.
Operating move
Led QA discipline across recruiting, compensation, and core HR implementation workstreams.
Business impact
Built the delivery-quality foundation that now underpins partner ecosystem and enterprise operating-model work.
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