No experiments. No jargon. Just a clear view of which operational improvements are genuinely worth making — and which ones can wait.
Owner-led businesses below 250 people rarely have a Head of AI or a transformation department. What they do have are real operational problems — slow admin, manual reporting, inconsistent customer responses, and processes that depend on one person knowing where everything lives.
Inspired AI works with leadership teams to examine those workflows before recommending anything. The right answer might be AI, automation, a process redesign, existing software used better — or no change at all.
Inspired AI has no technology to sell. Every recommendation is made purely on the basis of what will produce measurable business benefit for your organisation.
For a 50-, 100- or 200-person business, traditional operational discovery — consultant-led interviews, workshops, internal working groups — can cost as much as the improvement programme it is meant to inform. Iris, our AI-powered interview agent, powered by Prescient Labs, changes the economics. It conducts structured, conversational interviews across roles and functions without requiring weeks of consultant time — so Inspired AI can focus on analysis and recommendations rather than discovery overhead.

Diagnostic technology powered by Prescient Labs
Map real workflows and operational friction points across your business — admin, finance, customer service, reporting, and more.
Rank improvements by effort, cost, and business impact. Focus only on what will move the needle for your size and stage.
Build a clear, commercially grounded case — so decisions are made on evidence, not enthusiasm for new technology.
For most SMEs, the cost of traditional operational discovery is the problem. Consultant-led interviews across a 100-person organisation can take weeks and cost more than the investment being considered.
Iris changes that. It conducts structured, conversational interviews across different roles and functions — gathering the evidence that would otherwise require a significant discovery engagement — without the time or cost that makes traditional approaches impractical at this scale.
The result is a richer picture of how the business actually operates, available in days rather than weeks.
Powered by Prescient Labs
Iris interviews employees across roles and functions — asking open questions and following up intelligently — to surface the workarounds, bottlenecks, manual steps and frustrations that rarely appear in process maps.
It does not ask where AI should be used. It gathers evidence about how work happens. Inspired AI then determines what that evidence means and which opportunities are worth pursuing.
Enterprise-grade discovery without an enterprise-sized discovery exercise.
The value of Iris for an SME is not just what it finds — it is how quickly and cost-effectively it finds it. Rather than weeks of consultant-led interviews, Iris gathers structured insight from across your organisation conversationally, covering the ground that traditional discovery methods make impractical at this scale.
What people actually do each day, versus what the process map says they do.
Tasks that consume time without adding strategic value.
Where people have quietly built their own solutions to broken processes.
Where work slows, stacks up, or waits on one person.
The same work being done in more than one place.
Steps in a process that exist by habit rather than necessity.
Time spent producing reports that may not drive decisions.
The things people mention when asked what slows them down.
The hidden cost of how work is currently organised.
We don't begin by asking, 'Where can we use AI?' We begin by understanding the work.
Employees across roles and functions — the people who know how work actually happens.
Scalable, conversational discovery. Structured interviews conducted across your organisation — open questions, intelligent follow-up, no consultant in the room.
A clear picture of actual workflows, not the version that appears in the process map.
Inspired AI analyses the evidence gathered by Iris to identify where improvement is genuinely possible.
AI • Automation • Process Redesign • Existing Technology • No Change
A practical investment roadmap — expressed in business terms, grounded in your actual operations.
These are the areas where owner-led businesses most often find meaningful, measurable gains — without necessarily needing AI at all.
Drafting, routing, filing, and chasing — often the biggest time drain, and frequently the quickest to fix.
Month-end processes, reconciliations, and management reporting often rely on manual steps that can be streamlined significantly.
Repetitive queries, proposal generation, and follow-up processes that consume team time without adding strategic value.
When answers to common questions live in one person's head or a maze of shared drives, productivity and resilience both suffer.
Many technology advisers arrive with a solution already in mind. Inspired AI starts from the opposite position: the right answer is whatever genuinely serves your business best.
That independence shapes every engagement. Recommendations are made without any commercial relationship with software vendors or platforms.
When they genuinely improve speed, consistency, or scale.
When the process is sound but the execution is manual and repetitive.
When the root issue is how work is organised, not the tools being used.
When the current approach is already working well enough — and disruption would cost more than it saves.
Inspired AI works directly with founders, MDs, CFOs, and COOs. You do not need a transformation department or a technical lead to get value from the process.
Every engagement begins with understanding how your business genuinely works — not an off-the-shelf maturity model or a generic framework.
Recommendations are expressed in business terms: time saved, cost reduced, risk mitigated. Not technical capability lists.
Operational discovery — understanding how work actually happens across your business — has traditionally required weeks of consultant-led interviews. Iris conducts that discovery conversationally, at scale, so the focus moves quickly to analysis and recommendations.
Almost certainly. Most businesses using AI tools are using a fraction of what's available, or using them in areas that aren't highest priority. An independent review helps direct that effort.
That's precisely the question Inspired AI is built to answer — without a product to sell or a platform to push. You get a clear, honest assessment of what applies to your context.
The majority of high-value improvements don't require significant technology investment. Often, better use of tools you already have produces the greatest return.
Iris conducts structured, conversational interviews with people across your organisation — at whatever scale makes sense. It asks open questions and follows up intelligently. Inspired AI then analyses what has been discovered and identifies which opportunities are worth pursuing. Your people don't need to prepare. There's no survey to complete. The conversation is the process.
No preparation required. Bring your current priorities, operational frustrations, or a specific area you're considering. The call is designed to give you immediate clarity — not to sell you a project.
What your business does, how it's structured, and where the friction sits today.
A focused discussion on where improvement is most likely to produce measurable benefit.
Whether that's a deeper diagnostic, a specific tool to investigate, or confirmation that your current approach is already sound.
No vendor relationships. No platform commissions. Recommendations made solely on the basis of what works for your business.
The process starts with real workflows, not assumptions. Every recommendation reflects how your business actually operates.
You leave with priorities and a justification you can act on — not a report full of caveats and options to explore later.
For many smaller businesses, the opportunity isn't necessarily another AI platform.
It may be helping the people already in the business use tools such as ChatGPT or Microsoft Copilot more effectively, automate repetitive activity, create useful AI assistants or develop simple workflows around the work they already understand.
Inspired AI provides practical training designed around the organisation rather than a generic course catalogue.
ChatGPT, Microsoft Copilot, generative AI fundamentals and effective prompting.
Role-specific use cases, prompt libraries, process improvement and practical team workshops.
Agents, assistants, bots, workflows, automation, rapid prototyping and AI-assisted development.
Practical AI briefings, opportunity and risk, responsible adoption and building internal AI capability.
Training can follow an Inspired AI Opportunity Diagnostic or begin independently where you already know what your people need.
One conversation. No commitment. A clear view of which improvements are worth making — and which ones can wait.
Practical AI decisions for growing businesses.