Understand
We work with your product, design and engineering team to agree the decision you need to make, who the work should help and what a useful outcome looks like.
Product-led AI consultancy services
DabApps' AI consultancy services help teams decide where AI can create value, whether an idea is feasible and how it should fit existing systems. We bring more than 15 years of software delivery experience to practical product and technical advice, so you can decide what to do next.
When do you need AI consultancy?
You may need to establish whether a proposed AI feature is feasible, how it should connect to existing data and systems, or how to evaluate outputs that are sometimes wrong. Product leaders, founders and technical teams come to us for advice on these specific product and engineering decisions.
AI consulting gives your team an informed view of what is worth pursuing and what needs more evidence. We consider the business goal alongside reliability, cost, risk and long-term maintenance, so the recommendation makes sense for the people using and supporting the product.
If you have several AI ideas and need to decide where to invest across the business, AI Transformation provides a wider opportunity review and adoption plan.
WHAT WE HELP YOU DECIDE
How our AI consultancy helps your business
DabApps provides focused advice on AI-enabled products and workflows. We review the problem with your team, assess the relevant data and technical constraints, and recommend an approach with clear next steps. That might mean refining an idea, testing a specific assumption or planning how AI can be integrated responsibly.
- Assess whether AI fits a proposed feature
- Assess feasibility, risks and trade-offs
- Shape AI-enabled products and workflows
- Plan integration with existing systems and data
- Define how to evaluate outputs and involve people
- Recommend what to pursue, test or leave aside
WHEN TO BRING US IN
Common starting points for AI consulting
Bring us the question that is holding up progress. You might need to assess an existing prototype, understand what an integration would involve or decide how people should review an AI output. We help you separate what is already known from what needs testing before you commit to a build.
- Uncertainty about whether an idea is feasible
- A prototype that needs a route into a real product
- AI that needs to work with existing systems
- Questions about data quality, reliability or human review
How DabApps provides AI consultancy
Review
We review the relevant workflows, data, systems and existing experiments. You get a clear view of the constraints, dependencies and gaps that affect feasibility.
Assess
We compare approaches and work through product and technical trade-offs with your team. Where an assumption needs testing, we identify a focused experiment and how to judge its results.
Recommend
You receive practical recommendations, the reasoning behind them and agreed next steps. These can guide an investment decision, further validation or an implementation brief.
WHY DABAPPS
Why DabApps for AI consultancy?
Our advice helps teams question a proposed feature and decide what is worth building. Take Me to the Moon came to us with an AI itinerary-builder idea. Reviewing customer consultations and testing prototypes showed that the service’s value lay in local knowledge and human reassurance. Together, we shaped a mobile travel companion that would use AI to support the team’s expertise. That product decision formed part of a wider discovery engagement, which produced a mapped customer journey, a prototype, a defined role for AI and a phased scope for development.
- Advice grounded in software delivery and ongoing support
- Product design, data and engineering considered together
- Early attention to permissions, evaluation and maintenance
- A team that can help implement the recommendations
AI and product decisions in practice
These projects show how we test whether an AI idea is useful and feasible before recommending what to build, with attention to the data and human judgement it needs.
Take Me to the Moon
We helped a specialist travel team imagine a more personal digital journey: a mobile companion prototype combining itineraries with access to human support.
Emvelo
We built an operator decision-support system for Emvelo, combining plant forecasts and optimisation recommendations in an operator interface.
Brace for Impact
ImpactIO says our platform analyses sustainability documents in minutes, speeding up reporting and creating a new service to sell.
What our clients say
“We used to manually collect, read and analyse client documents to build our sustainability reports and that would take us anything from a couple of hours to a couple of days, depending on the amount. Now the platform does that in minutes and the analysis is more consistent than manual analysis.”
ImpactIO
Choose the AI support your team needs
AI consultancy provides focused advice on a product or technical decision. AI Transformation is a structured engagement to identify opportunities, test assumptions and plan adoption across your organisation. AI Product Engineering covers implementation, integrating AI into products and workflows people can use and support.
For development teams adopting coding agents, we also offer practical AI engineering training built around shared workflows, testing and review.
Questions about AI consultancy
What do we get from an AI consultancy engagement?
We agree the scope around the decision you need to make. Outputs can include a feasibility assessment, product and technical recommendations, identified risks and dependencies, and a brief for the next stage. We explain the trade-offs and any assumptions that still need testing.
Do we need a defined AI project before talking to you?
No. A problem, an idea or an existing experiment is enough to start a conversation. Focused consultancy can help resolve a particular question. If you need to identify opportunities across the organisation and plan adoption, our AI Transformation service is the more structured starting point.
Can you advise on AI for an existing product or system?
Yes. We look at how AI would fit the current workflows, data, APIs and permissions, including what should happen when an output is wrong or uncertain. The recommendations account for the software and the people who will operate it.
Will you recommend an approach that doesn't use AI?
Yes. We assess whether AI adds enough value to justify its cost, complexity and ongoing support. An existing tool, a simpler software change or improving the underlying data may be the better next step.
How long does AI consulting take, and can you help afterwards?
Some engagements are short and focused; others need a deeper review or ongoing advice. Scope and timing depend on the questions, systems, data access and people involved. We agree those together, and can support implementation through AI Product Engineering or work alongside your existing team.
Practical thinking about AI
Advice from our team on choosing a partner, evaluating AI, integrating it into existing products and designing for the people who use it.
8 min read How to assess whether an AI partner can identify the right problem, integrate with real systems and support the resulting software after launch.
5 min read Context, constraints and control are the guardrails that turn clever AI demos into production systems.
6 min read Adding AI increasingly means making an existing web app usable by the AI agents your customers already use.
6 min read