Start inside your approved stack
Review existing licences, identity systems and integrations with your technology team. Any additional tool or connection goes through the approvals your company requires.
Turn your industry knowledge into a product direction you can test.
Work directly with me, Imran, and your existing team to validate a software opportunity. We review the customer problem, test the critical assumptions and decide where software and AI can create useful value.
Discuss a workshopStart with a conversation. Scope and price are agreed before any paid work.
This is a strong fit when you understand the customers, operating decisions and constraints in your industry. We use that expertise to find what the product should do and why someone would keep using it.
Deep workflow integration, permissioned proprietary data and customer trust can make a product harder to substitute. The workshop examines that advantage alongside the evidence for the customer problem.
I've worked alongside enterprise and Fortune 500 teams, including people in talent acquisition and supply chain planning. My experience includes Microsoft Copilot, Gemini, Claude and OpenAI. We start with your existing technology and security requirements, working with IT and InfoSec to agree the boundaries before choosing a pilot.
We assess the configuration and integrations your company approves. A custom system is one possible recommendation, alongside using an existing tool or leaving the process as it is.
The strategy needs to fit how your company handles information. We review the constraints with IT and InfoSec before using internal data or connecting tools.
Review existing licences, identity systems and integrations with your technology team. Any additional tool or connection goes through the approvals your company requires.
Agree which information can enter each tool, how access is granted and what needs to stay out. Confirm retention and logging requirements before using internal material.
Define where AI can draft, recommend or take an action. Set review and escalation points according to the consequence of a wrong result.
Name the system owner, the people checking results and the route for reporting failures. Include these responsibilities in the pilot and rollout plan.
Work with your industry experts and product team to understand the customer problem and the operating workflow. Identify the useful context, data and relationships your business brings, then agree what evidence would justify building.
Work with IT and InfoSec on data classification, approved tools, access, retention and audit requirements. Decide which material can be used in testing and which actions need human approval.
Assess your existing systems and approved tools against the product need. Decide where custom software, an existing product or AI belongs, with available team capacity and security requirements guiding the recommendation.
Use an interactive prototype or bounded task to test an important assumption with approved material. Review customer feedback, useful results, failures and the work still required. Agree what a production pilot must prove and what would make us stop.
Sequence the next product slices around value, dependencies and risk. Agree the owners, a starting baseline and the evidence needed at release. Recommend what to buy, build or leave alone, with implementation scoped separately.
Identify where AI can add delivery capacity across planning, design, implementation and review. Agree human decision owners, shared checks and the training the team needs to use the method on real product work.
The right starting point depends on the work, the people and the information available. Bring the process owner and the teams whose systems it touches.
I've worked alongside enterprise talent acquisition teams. A workshop can examine candidate information, interview preparation and team handoffs within the access rules for personal data.
My experience includes supply chain planning. We can examine planning decisions, commitments and the information people need when forecasts or delivery dates change.
I've built sales systems connecting lead context, call preparation, customer outcomes and reporting. We can assess where AI belongs in those handoffs.
My work includes building and running production software. We can review knowledge access, delivery workflows and AI-assisted work with the checks your team needs.
We can explore supplier correspondence, document handling and approval steps against your data and review requirements.
We can explore reconciliation, reporting preparation and document-heavy work, with the finance team owning review and approval.
The customer problem, the industry context behind it and the assumptions worth testing before further investment.
The agreed requirements for approved tools, access to information, retention, human review and operation.
Where your existing systems are enough, where a product needs to be built and where AI adds a useful capability.
What the selected slice showed, what remains uncertain and the evidence a production pilot must provide.
The recommended sequence, owners and dependencies, with a build, buy or no-build recommendation.
The AI methods, human reviews and shared standards your existing team needs for the next stage of delivery.
The domain expert or business sponsor, a product or engineering decision-maker, and the people who understand the customer workflow. IT and InfoSec join the decisions about technology and data boundaries. We agree the participants before the workshop.
No. We review your existing technology and approved AI tools first. Microsoft Copilot, Gemini, Claude and OpenAI are options to assess where your company permits them. The workflow, available integrations and security requirements guide the recommendation.
Yes. We can begin with a workflow review and examples your team approves. IT and InfoSec agree what can be used before testing. Access to production systems and sensitive information is a separate, explicit decision.
We agree the scope, format, participants, deliverables and fixed price before you book the workshop. The first conversation is to work out whether it is the right starting point.
The workshop includes agreed tests of a selected task. A production pilot or rollout needs a separate scope, access approvals and acceptance criteria. We agree that work before implementation starts.
No. The recommendation and working materials are yours. A custom build needs a separate scope and agreement. Sometimes the right answer is an existing tool or no new software.
We will work out whether a workshop is useful, or whether you are ready to scope a build.