AX (AI transformation) consulting
We decide what AI takes over,
and coach your staff to build it
PNF Consulting decides which work should be handed to AI and coaches your own staff to build it. The result runs alongside live operations, and adoption is decided once real performance has been confirmed.
Barriers to adoption
Where AI projects stall
AI transformation is rarely delayed by a lack of tools. It stalls because there is no way to see, in advance, what the tools would do with your own work.
Conventional diagnostic consulting
A gap between diagnosis and execution
- Maturity scores are produced, but whose work is reduced, and by how much, remains unclear.
- After the PoC report, a build contractor has to be selected again.
- Concerns about who is accountable when it goes wrong are left unresolved.
- Benefits are presented as projections only.
- Operations stop when the external team leaves.
The PNF approach
Verified on the actual work
- Work is broken down to the processing level and converted into hours saved per task.
- The team that ran the diagnosis also coaches the build, so no re-selection is needed.
- Existing work continues unchanged, so live operations are unaffected during verification.
- Before and after are compared from actual processing records and reported as numbers.
- Your own staff build it, so it can be modified and extended afterwards.
Delivery model
Coach-Build — your own people build it
Nobody knows your systems and workflows better than your own staff. PNF selects the tasks and sets the judgement criteria, while trained AX Champions do the building.
01 Built by people who know the work
Less time is spent bringing outsiders up to speed on internal systems and rules. Exceptions and shop-floor practice that never made it into a document are reflected as it is built.
02 The training is the build
There is no separate integration phase to schedule. The process of champions building their own tasks is itself how internal capability accumulates.
03 Only what needs outsourcing goes out
The whole project is not handed to a vendor. Only the parts requiring specialist implementation go to IT partner firms, which keeps cost and external dependency down.
Verification method
Live-Twin parallel verification
Your staff keep working as they do today while the agent handles the same task separately, and the two results are compared. Accuracy is confirmed before anything is replaced.
Delivery process
Six stages built on D·T·I
Diagnosis, transition and integration are each split into two working stages. Every stage has a defined deliverable and a criterion for moving on.
Fixing what changes and in what order
PNF runs a workshop in which champions break down their own work. We identify the stretches that repeat often and follow clear rules, and shortlist candidate tasks.
PNF selects the tasks and writes them up as requirements, specifying source material, expected output and the points where a person signs off.
Deciding scope from measured results
Champions build it and run it alongside live work. PNF holds a weekly clinic to review the design and work through blockers with them.
Only tasks meeting the standard go into live use, then the scope widens to adjacent work. Measured results support any funding applications.
Handing operations to the client
Trained champions mentor the next cohort and extend the scope into neighbouring departments. PNF joins through periodic review.
Performance is reviewed regularly from operating records, and the next tasks to convert are chosen together.
Measured savings confirmed in operation feed back into the diagnostic baseline for the next project. The closer the sector and company size, the smaller the gap between estimate and outcome.
Where it applies
Start with documents
and data work
No equipment replacement or capital investment is needed to begin. Converting the daily collation, drafting and cross-checking work first gives the fastest return.
Quality — customer claim responses, defect write-ups, report drafts
Production — daily output collation, shift handover, work standard revisions
Maintenance — fault history, recurring failure patterns, checklist standardisation
Purchasing — quotation comparisons, supplier evaluations, delivery follow-up
Back office — recurring paperwork, performance reporting, data dashboards
Service structure
Engagement options
Start with a single task, confirm the verified result, then decide the next scope.
COACH-BUILD
Champion development
1–2 tasks
Foundation training and a diagnostic workshop set the tasks; champions then build them and run parallel verification through to completion. Most companies start here.
SCALE
AX roll-out
3–4 months · per task
Tasks that meet the standard go into live use and extend to neighbouring departments, with earlier champions mentoring the next cohort.
OPERATE
Ongoing support
Monthly · continuous
Performance of live tasks is reviewed regularly and revised as the work changes. The next conversion candidates emerge from this cycle.
Who it suits
A good fit for companies that
- lose significant staff hours to repetitive document and data work
- can assign staff who understand the internal systems and workflows
- have considered AI but have not settled on where to apply it
- want to secure budget through government support programmes
- would rather keep the capability in house than outsource it
Government programme support
During diagnosis and design we review which support programmes are available in the current year, and help you use the measured results from verification as supporting evidence in an application.
Let us look at the work
that AI should take over
Tell us which tasks repeat and what you are considering, and we will come back with where AI applies and a first scope.