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Ask your business a plain question, get a real answer.

Most businesses already have the data they need. It is just in three different places, formatted three different ways, and none of them talk to each other. We build the layer that lets anyone on your team ask a question in plain English and get a real answer back, with the source row attached.

Best for
Teams drowning in reports
Diagnostic
Free, sixty minutes
Ownership
Yours from day one

What is a conversational data layer?

A conversational data layer is a single interface built over your existing data, including CRM, spreadsheets, databases, and documents, that lets anyone on your team ask a question in plain English and get a real answer back, with the source row attached. No dashboard to maintain. No analyst to book. No hour spent reformatting a spreadsheet before you can see what is happening.

Most businesses have the data they need. It is just in three different places, formatted three different ways, and none of them talk to each other. Getting a straight answer out of it means running a report, booking time with someone who knows the system, or spending an hour reformatting things into a shape that answers the question you actually had. The problem is not the data. It is the gap between the question and the answer, and that gap costs time on every decision your team makes.

What is included in every build

  • 01Data mapping, we document every source your business currently uses to store and retrieve information, including the unofficial ones that actually run the company
  • 02Integration and connection, we connect the sources into a single queryable layer. Where data is inconsistent or duplicated, we resolve it as part of the build
  • 03Natural language interface, your team asks questions in plain English. The layer returns answers with the source row or document attached
  • 04Full handover, repository, credentials, runbook, and every prompt in source control. Yours from day one

Common shapes

  • aReporting on demand without a BI seat per person
  • bCustomer or order lookup across multiple systems at once
  • cOperational data Q&A over five plus years of historical records
  • dCompliance and audit queries with citations sufficient for evidence

Where to go next

A conversational data layer pairs naturally with workflow agents that act on what the data tells you, and with bespoke internal tooling built around your stack. The fastest way to find the right starting point is to run the audit.

Example case

Ask the business, professional services firm

Names are kept private. Outcome and numbers are real.

Data layer 2025
CASE 03 / AB Ask the business
Professional services · four systemsMonday report: 12 minutes

Plain language reporting, cited at the row

Revenue, projects, utilisation and pipeline lived in HubSpot, Asana and two spreadsheets, and every report was a manual job. The team now asks plain questions in Slack and gets the answer in seconds, with the source rows attached. The Monday report went from a morning to twelve minutes.

In production · self serve across the teamRead the case →
Frequently asked

Data layer, specifically.

General questions live on the services hub. These are the ones we hear most about a data layer in particular.

CRMs, spreadsheets, relational databases, flat files, PDFs, and most cloud hosted tools with an accessible API or export. The specific sources depend on your stack. We establish this in the diagnostic before any work begins.
Your data stays in your environment unless you ask otherwise. We work to UK GDPR standards by default, every action the layer takes is logged with a full audit trail, and we will sign a DPA. We will tell you honestly if a particular model or vendor creates a compliance issue for your situation.
No. Dealing with messy, inconsistent, or duplicated data is part of the work. We resolve conflicts and inconsistencies as part of the build rather than asking you to clean house first.
Yes. The interface is plain English. If you can type a question, you can use it. We run a short session with the team before handover to make sure everyone is comfortable. There is nothing to learn beyond asking the question you already want answered.
Every answer comes with the source data attached. Your team can verify any response against the original row or document. Where the layer is uncertain, it says so rather than guessing. Accuracy improves over the first few weeks as queries are reviewed and the layer is refined.

Scope a data layer.

Bring the process. We map it, find the bottleneck, and write a one page recommendation with a fixed price, yours either way.

Book a conversation →
ResponseWithin one working day
BasedGreater Manchester, UK
ApproachCustom, never templated