DATA & AGENTIC AI CONSULTING · STARTUPS, SCALE-UPS AND SMEs
Most AI projects fail on the data,
not the model.
ITech Consulting helps startups, scale-ups and small and medium enterprises modernise their data processes, turn the data they already hold into meaningful insights, and bring Agentic AI into everyday workflows — starting with an honest assessment of your data, your processes and where AI would improve business outcomes.
30 minutes. No obligation. We reply within one working day.
ITECH CONSULTING · DATA & AI · LONDON, UK · FOUNDED 2023
- DATA IN
- Your warehouse, ERP, CRM and product data · spreadsheets and legacy systems · files and APIs · public sources such as OECD, IMF and World Bank where they add context
- ASSESSMENT
- Your business processes, the bottlenecks in them and the data behind them · an Agentic AI plan with expected outcomes and risks
- OUTPUTS
- A modern, near-real-time data process · meaningful insights from warehoused data · Agentic AI in everyday workflows · evaluation before anything reaches users
- OWNERSHIP
- You keep 100% of the code, data and documentation
WHY IT MATTERS
Companies warehouse more data every year. Most of it never becomes a decision.
Every AI initiative built on top of that data inherits the same gaps, and every agent built on a process nobody has mapped automates the bottleneck. The data has to be right before the model matters — which is why our work starts with an assessment of the data and the business process you already have.
WHAT WE DO
Four things, done properly.
We call it Data-first AI. The data has to be right before the model matters, and the business process has to be understood before an agent is built.
Business and data assessment
Find out where Agentic AI and smart automation would improve your outcomes.
- We map your business processes and the bottlenecks in them
- We assess the data you hold: sources, quality, gaps and how it moves
- You get a written Agentic AI plan: priorities, expected outcomes, costs and risks
Details
Before anything is built, we look at the business and the data together. Where does work queue up, where do people re-key data, where does a decision wait for a report? We match those bottlenecks against the data you already hold and tell you, in writing, where an agent would remove a bottleneck, where a simpler automation or a better report does the job, and where nothing should change. Not every problem needs a frontier model.
TYPICAL DELIVERABLES
- Process and bottleneck map
- Data audit
- Prioritised Agentic AI plan
- Business case with expected outcomes and risks
Modern data foundations
Replace spreadsheets and legacy stacks with a data process that runs itself, close to real time.
- Move from Excel and legacy tools to a modern warehouse without breaking the reports people rely on
- Automated pipelines that refresh on a schedule you choose, down to near real time
- Validation, monitoring and documentation, so the numbers stay trusted
Details
Many teams run the business on spreadsheets and a legacy database because that is what grew with them. We migrate step by step: connect the sources, rebuild the logic in a transformation layer, keep the existing reports working, then switch the refresh from manual to automatic. Your team learns the new process as it is built and owns it at hand-over.
TYPICAL DELIVERABLES
- Migration plan
- Source connectors
- Transformation layer
- Refresh scheduler and monitoring
- Runbook and team training
Warehoused data to insights
Turn the data you already store into decisions people can act on.
- Connect your warehouse, ERP, CRM, product and public data into one model
- Data-quality checks and refresh monitoring, so the numbers stay current and trusted
- Insight layers and dashboards built around the questions your team actually asks
Details
We design and build the models that bring your sources together and the insight layer on top: documented tables, metrics and dashboards your team can query without an engineer. Gaps, revisions and format changes are caught before anyone sees a wrong number.
TYPICAL DELIVERABLES
- Data model
- Data-quality checks
- Metrics layer and dashboards
- Documentation
Agentic AI in the workflow
Agents and assistants where the work happens, with a human in control.
- Agents that take the multi-step work off your team: intake, classification, extraction, drafting, follow-up
- AI search and assistants over your own data, with source citations
- Evaluation sets with known-good answers, guardrails and cost right-sizing before anything reaches users
Details
We build and train the agents and assistants the assessment recommended: systems that read, decide and act across several steps towards a goal, escalate to a person when they should, and cite their sources. Every system ships with an evaluation set, so you know its accuracy before it reaches users and can measure it after. We build the smallest system that works, measure it, and hand it over; a fractional data and AI lead retainer is available if you want continuity.
TYPICAL DELIVERABLES
- Workflow map and agent design
- Retrieval index and routing logic
- Evaluation harness and guardrails
- Production hand-over and cost report
Not sure which one you need? Book a free consulting call and we will work it out together.
HOW WE WORK
From a 30-minute call to a working system.
30 MIN · FREE
Free consulting call
We look at where your data lives, what you want from it, and whether AI belongs in the answer. You leave with a clear next step, even if it is not with us.
1–2 WEEKS · FIXED FEE
Business, data and AI readiness review
We assess your business processes, the data behind them and the bottlenecks between the two. You get a written Agentic AI plan with scope, price, expected outcomes and the principal risks.
FIXED SCOPE
Build
Pipelines, insight layers, agents, workflow automations or LLM systems, tested against real examples with known answers. Weekly demos. No surprises at the end.
YOUR CHOICE
Hand-over or continue
Documentation, code and ownership transfer to your team. If you want continuity, a fractional data and AI lead retainer is available.
- No obligation after step 2.
- AI only where it is useful.
- You own the code, the data and the docs.
WHO IT IS FOR
Built for teams that have data but not a data team.
Startups, seed to Series B
You have product data, customer data, and a spreadsheet that broke last month. You need one reliable place for it and a first AI feature you can defend to investors.
- One reliable data foundation, without hiring a data team
- A first Agentic AI use case scoped for real return
- Evidence you can put in front of investors: evaluation results, not demos
Scale-ups
You have a warehouse and stretched data engineers. The warehouse is full, the insight is thin, and your AI prototype has no evaluation.
- An insight layer on top of the warehouse you already have
- Agentic AI where it removes a bottleneck, with evaluation before it reaches users
- Production discipline: monitoring, refresh, hand-over documentation
Small and medium enterprises
You run the business on spreadsheets and a legacy system that nobody dares to touch. Reports take a week, systems do not talk to each other, and manual work piles up that AI could take on.
- Move from Excel and legacy tools to a modern, near-real-time data process, step by step
- Sources connected and refreshed automatically
- Agentic AI in the workflow, from document handling to search, so people get answers without filing a ticket
READINESS CHECK
Five questions. One honest answer about where you stand.
Answer five questions and get an honest reading of where your data stands, plus the first step we would recommend.
The readiness check needs JavaScript. Book a call instead.
ABOUT ITECH CONSULTING
A senior-led data and AI practice.
ITech Consulting is a data and Agentic AI consultancy based in London, founded in 2023. The practice works with startups, scale-ups and small and medium enterprises across sectors: assessing the business and its data together, replacing spreadsheets and legacy stacks with near-real-time data processes, turning warehoused data into meaningful insights, and introducing Agentic AI into everyday workflows where it improves business outcomes. In finance, that work has included live macroeconomic data platforms and the training of agentic AI search engines and language models.
Every engagement is led by a senior consultant, from the first call to hand-over. The people who scope the work are the people who deliver it. There is no hand-off to a junior team.
Every enquiry gets a personal reply, usually within one working day.
FAQ
The questions we hear before the first call.
What happens on the free call?
We spend 30 minutes on where your data is, what you want from it, and whether AI belongs in the answer. You leave with a clear next step. There is no pitch.
Do you only work with finance companies?
No. The practice works with startups, scale-ups and SMEs across sectors. Finance is one of them, where we built live macroeconomic data platforms and trained AI search systems. The method is the same everywhere: connect the data, evaluate the AI, hand over the code.
Which data sources can you integrate?
Your data warehouse, databases, ERP, CRM and product analytics, plus files and APIs. Public sources such as OECD, IMF and World Bank where they add context. If a source has an API or a stable file format, it can be automated.
Who owns the code?
You do. Every pipeline, model configuration and document is yours at hand-over.
How do you price?
The first call is free. The readiness review is a fixed fee. Builds are fixed scope with a written proposal. Retainers are monthly. No hourly billing surprises.
How long does a build take?
The written proposal after the readiness review states the timeline. A first pipeline or AI use case is measured in weeks, not months; the review sets the exact scope.
Do you need access to our systems?
Read access to the relevant sources, and a place to deploy. We agree the access scope in writing before the work starts.
What about data privacy and security?
Work happens in your environment where possible. No client data is used to train shared models. We sign an NDA before the review if you need one.
What is Agentic AI, and do we need it?
Agentic AI means systems that work towards a goal in several steps — reading, deciding, calling tools, drafting — with a person in control of the outcome. Not every business needs it. The assessment tells you where an agent would remove a real bottleneck, and where a simpler automation or a better report does the job.
We still run on Excel. Is that a problem?
No. It is the most common starting point we see. We move you from spreadsheets and legacy tools to a modern, near-real-time data process step by step, and the reports people rely on keep working throughout.
Get the most out of the data you already have.
Book a free 30-minute consulting call. We look at where your data is, what you want from it, and where AI helps — and where it does not.
To access, correct or delete your data, or to complain, see our privacy notice. We acknowledge complaints within 30 days.
FREE CONSULTING CALL · 30 MIN · VIDEO
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