A promising pilot still depends on workarounds
The technology produces useful results, but the workflow still relies on particular people, repeated correction or informal knowledge.
When Figura becomes useful
When a promising technology still needs a workable operating model.
Figura is useful when the technology can do something valuable, but the way it needs to work inside the business is not yet clear.
The question may begin with AI or another emerging technology. The engagement begins with the retail problem: what needs to improve, what is getting in the way and what has to change around the work for the new capability to become genuinely useful.
Figura then helps define, prove and implement the working method at the level the situation requires.
Where the work can begin
Quality becomes harder as use spreads
Several people can produce reasonable results, but they are not necessarily working to the same definition of good.
The technology request is broader than it first appears
A request for a tool may actually combine several capabilities, workflows or constraints that need to be separated before a sensible decision can be made.
Adoption has moved beyond the technology
The real difficulty now sits in roles, approvals, suppliers, information flows, standards or internal capability.
The intervention starts where the actual problem sits.
How Figura works
Diagnose → Design → Prove → Implement → Transfer → Evolve
This is Figura's working progression. The scale and starting point depend on the problem.
Diagnose Find the problem worth solving.
Design Build the working method around the real constraints.
Prove Test the method on real work.
Implement Put the method into the work that has to use it.
Transfer Build capability where the work needs to live.
Evolve Keep the system useful as the work changes.
Diagnose
Find the problem worth solving.
Before recommending a technology, workflow or larger intervention, Figura establishes what is actually getting in the way.
That may involve separating a tool request into its underlying requirements, identifying where quality is failing or distinguishing a technology limitation from a workflow problem.
The purpose is clarity before commitment.
Design
Build the working method around the real constraints.
Once the problem is clear, Figura designs the way the work needs to operate.
Depending on the problem, the working method may involve roles, standards, quality controls, inputs, approvals and the appropriate place for technology.
The outcome should be a usable working method, not simply a recommendation about what ought to happen.
Prove
Test the method on real work.
A pilot should establish more than whether the technology can produce one good result.
It should reveal whether the method holds up against the real quality bar, where it fails and what still needs to change before wider implementation makes sense.
For AI-enabled retail work, this can be the difference between an individually convincing output and a process that can produce the right output repeatedly.
Implement
Put the method into the work that has to use it.
Implementation may reach beyond one team.
It can involve real roles, approvals, suppliers, standards, information flows and operating routines.
The exact shape depends on the situation, but the objective is the same: move the method out of the pilot and into the operating environment where it needs to function.
Transfer
Build capability where the work needs to live.
Where appropriate, Figura works towards more of the capability residing inside the client organisation.
That may require role-specific development, documentation, standards and practical support while people begin working in the new way.
Transfer is not assumed in every engagement. It is an intended part of the Figura model where the work requires it.
Evolve
Keep the system useful as the work changes.
Some working methods benefit from periodic review as technology, business requirements or operating conditions change.
Figura can remain involved through bounded senior advisory where continued judgement has genuine value.
The purpose is evolution, not permanent dependence.
Not every engagement needs all six stages. The starting point and scope depend on the problem.
Current AI application
AI is one current expression of the work.
Figura's current AI work in apparel and home retail includes questions such as:
- whether generated imagery remains true to the product;
- how quality can become repeatable across a workflow;
- how repeated failure should change the method;
- how AI-assisted checking can remain traceable and re-checkable;
- and how people move from learning a tool towards using it in real work.
The technology changes quickly. These operating questions tend to last longer.
Implementation
Implementation happens through people and operating relationships.
A method may need to work across internal teams, suppliers, specialist partners and technology providers.
Different parts of that system may be ready at different times. A retailer can be ready before a supplier. A technical capability can work perfectly in isolation while the hand-offs around it fail. Training can happen without the work subsequently being used.
Figura therefore treats implementation as an operating problem, not simply a technology rollout.
Where capability transfer is part of the engagement, the aim is for the people responsible for the work to become increasingly able to operate it themselves.
Working with Figura
Defined engagement. Direct senior judgement.
Figura is founder-led. Annamie Hansen remains directly involved in senior diagnosis, major recommendations, quality judgement and the key client relationship.
Specialist collaborators can be brought into defined work where useful. The model is based on adding the expertise a problem requires, not maintaining scale for its own sake.
Engagements can take several forms:
Diagnostic and senior advisory
Establish the real problem, priorities, readiness and decisions.
Workflow and system design
Design a usable working method around the relevant roles, standards, controls and technology.
Defined pilot or proof
Test the method on real work and establish what needs to be true before wider use makes sense.
Implementation and capability transfer
Support the working method into the people, roles, suppliers and routines that need to operate it.
Bounded evolution and advisory
Review and adapt an established system where continued senior judgement adds value.
These are engagement forms, not fixed packages.
The scope, responsibilities, timing and commercial terms are defined once the problem is sufficiently clear.
Fit
Implementation works best with active client participation.
Figura is most useful to established apparel and home organisations with internal teams and a meaningful operating problem. Relevant client participation matters because the working method ultimately has to function in the client's environment.
If the situation is still unclear, that is enough to begin a conversation.