The answer’s there. Now it’s easier to find.
Helping people find useful information without knowing the exact words to search for.
Read the case studyServices
AI consultancy.
Automation that earns its place.
Practical AI consultancy for businesses that want less repetitive work and better use of their information. Our London-based team helps you assess the opportunity, connect existing systems and deliver a useful first improvement.
Start with the work, then choose the tools.
A task that takes too long does not always need AI. We look at the process, the information and the people involved before recommending a change.
- Map one process and identify repeated copying, checking, chasing or searching.
- Compare business process automation, existing software and AI against the same need.
- Agree how to measure the result, including handling time, exceptions and running costs.
AI and workflow automation in practice.
We build around a defined task and the systems your team already uses.
- Document intake: extract information, flag missing details and route exceptions for review.
- Knowledge search: help staff find relevant information across approved sources.
- System handoffs: connect business tools so information moves without repeated rekeying.
- Reporting: bring data together and reduce repetitive preparation.
A review with a useful decision at the end.
A scoped, paid AI and productivity review establishes whether an improvement is feasible and worth pursuing.
- A process map, current baseline and prioritised opportunities.
- Recommended approach, data and access requirements, and the checks people need to make.
- A proposed pilot scope, acceptance criteria and cost assumptions for implementation and operation.
- A recommendation to simplify the process or use existing tools when that is the better option.
From a focused pilot to everyday use.
We agree the scope before building, then test a first version with the people who will use it.
- Human approval for decisions that need judgement, with visible exception handling.
- Testing against representative examples and agreed acceptance criteria.
- Documentation, team training and a clear owner for the finished system.
- Separately agreed maintenance, provider charges and further improvements.
What does AI consultancy cost?
The scope depends on the process, data quality, integrations and the level of testing or support required. We agree the review fee and deliverables before starting; implementation is scoped separately.
- Start with a conversation about one business problem.
- Share a high-level description first; keep confidential material and credentials out of the enquiry form.
- Work directly with a senior lead and agree who is responsible for delivery and handover.
Experience behind the advice.
Tari’s experience includes enterprise information workflows and an AI-assisted knowledge-search application built with Python and Django. The examples below describe the work and its evidence; they are not promises of the same result for every client.
Meet FerozeTalk it through
What needs to move forward?
Bring the challenge, the decision or the application. We’ll work out a useful next step together.