Interview workflow owners and inspect representative tasks, data and systems.
AI CONSULTING + STRATEGY
Find the AI work worth doing.
Assess opportunities, readiness and delivery constraints before choosing tools. Build an AI roadmap around useful business tasks, credible evidence and the people who will operate the result.
MAP YOUR AI OPPORTUNITIESUseful starts with understanding.
A long list of AI ideas is not an implementation plan. We distinguish tasks that need a model from those better served by straightforward automation, and weigh potential value against data access, risk, integration effort and adoption.
FIELD NOTE 15 / AI Consulting + StrategyA long list of AI ideas is not an implementation plan.
CHOOSE THE RIGHT KIND OF SYSTEM
Not every task needs an agent.
PREDICTABLE RULES
A known trigger follows a defined set of steps. Best when inputs and decisions are consistent.
In practice
Explore Automation A completed enquiry form creates a CRM record and routes it to the right owner.
02 / WHAT CAN BELONG IN THE SCOPESpecialist depth.
Specialist depth.
Connected delivery.
These capabilities sit within AI Consulting + Strategy. We choose the combination that addresses your brief; the engagement is not a requirement to buy every item.
- AI Consulting
- AI Strategy
- AI Opportunity Audits
- AI Readiness Assessment
- Generative AI Consulting
- AI Transformation Roadmaps
- AI Training + Adoption
03 / THE WORK, IN PRACTICEFrom a clear brief
From a clear brief
to useful delivery.
Compare expected value with feasibility and operational risk.
Specify data access, integration dependencies, evaluation criteria and ownership.
Assess the starting point
Interview workflow owners and inspect representative tasks, data and systems. Establish where mistakes occur, where time is spent and what improvement would be worth commercially.
Prioritise bounded use cases
Compare expected value with feasibility and operational risk. Define a pilot that can be evaluated against a manual baseline rather than a broad demonstration.
Design the delivery roadmap
Specify data access, integration dependencies, evaluation criteria and ownership. Include training, governance and the cost of operating the system after launch.
Evidence for
the next decision.
Agree the baseline, definitions and review cadence before delivery. The right measures follow the business problem and the data available—not a standard dashboard.
- 01Evidence-backed use-case priorities
- 02Pilot acceptance criteria
- 03Adoption and operating readiness
We may recommend rules-based automation or process changes instead of AI. A strategy engagement does not imply that every proposed use case is suitable for production.
Bring the context.
We’ll help shape the brief.
Who it is for
Operations leaders, technology teams and business owners who need a focused AI Consulting + Strategy programme and a clear connection to the wider business.
What helps us begin
Workflow owners, representative task examples, system inventory, security requirements and a realistic view of available data.
What we agree together
Deliverables, responsibilities, access, approvals, costs and a realistic review rhythm. We identify dependencies before committing to implementation.
06 / GOOD QUESTIONSBefore
Before
the next step.
What should a AI Consulting + Strategy engagement solve first?
We begin with the constraint described in your brief, not a standard channel checklist. The first decision is usually whether to assess the starting point and what evidence would justify the next step.
Which AI Consulting + Strategy capabilities can belong in scope?
Relevant capabilities include AI Consulting, AI Strategy, AI Opportunity Audits, AI Readiness Assessment, Generative AI Consulting. We select only the combination needed for the outcome and document dependencies before delivery.
What does BackTeams need before AI Consulting + Strategy work begins?
We usually start with workflow owners, representative task examples, system inventory, security requirements and a realistic view of available data. A named owner helps resolve access, priorities and approvals.
How is AI Consulting + Strategy performance evaluated?
We agree a baseline and read evidence-backed use-case priorities, pilot acceptance criteria, adoption and operating readiness in context. Reporting must support a decision. We may recommend rules-based automation or process changes instead of AI. A strategy engagement does not imply that every proposed use case is suitable for production.
Can AI Consulting + Strategy connect with our internal team and other agencies?
Yes. We define ownership across ai + automation, adjacent specialists and your team, then use a shared review cadence so evidence travels between disciplines.
Useful intelligence. Working systems.
One specialist team or several connected disciplines.
We’ll work out what belongs in the plan.