From operational reporting to AI preparation

The power of a Data Team
at a fraction of the cost

Connect your business for immediate ROI while building a data foundation that can support AI when you are ready.

DMaaS · Data Model as a Service

A cloud service that exposes a fully built, governed, continuously updated semantic data model — dimensions, facts, relationships, and metrics — through APIs so applications, BI tools, and AI agents can consume structured meaning without building the model themselves.

Prebuilt connectors and a Data Model as a Service

Connect your ERP and accounting systems once. HiveFlowAI lands the data inside DMaaS — a governed semantic model (dimensions, facts, relationships, metrics) served through APIs — so apps, BI, and AI consume structured meaning without a modeling project of their own.

BC

Dynamics 365 Business Central

Microsoft Dynamics ERP — companies, items, sales, and the general ledger.

QBO

QuickBooks Online

Intuit cloud accounting — invoices, payments, customers, and the chart of accounts.

QBD

QuickBooks Desktop

On-prem QuickBooks through the Web Connector — the same foundation as cloud sources.

Tailor the baseline to how your business actually runs

DNA is an AI-powered way for process owners to extend the data model with no coding. Describe the logic in plain language, validate the outputs against real records, and approve. After that the generated code is pinned — it never changes on refresh, and it does not drift or hallucinate.

1
Describe

Business owners write what a metric, classification, or join should mean in operational terms.

2
Validate

Check the proposed logic against a known invoice, job, customer, or period before anything goes live.

3
Pin

Once approved, that exact logic is versioned and replayed verbatim. AI is not invoked again on nightly refresh.

Example prompts
“Treat revenue as recognized when the job is Complete and the post date falls in the close period — not when the invoice is printed.”
“Classify a job as warranty when job type contains Warranty or the customer is under an active service agreement.”
Job margin is (recognized revenue − direct job cost) ÷ recognized revenue, one row per job.”

No codingProcess owners drive the model in natural language.

Human validationLogic is checked against real records before it is live.

Pinned after approvalApproved code is version-controlled and does not change.

No AI driftScheduled refresh replays pinned logic — no new generation, no hallucinations.

What DNA can define for you
Revenue that matches how you close Recognized vs. billed vs. booked — in your terms, not the ERP’s default.
Classifications operations already use Warranty vs. billable jobs, strategic accounts, product families, and GL mappings.
Operational KPIs on your grain Job margin, backlog, DSO, inventory turns — calculated the way controllers already explain them.
One picture across systems Join ERP and accounting into a single operational model process owners can sign off.

Built-in reporting, configured in natural language

The Reporting Engine sits on your DNA. Describe the pages, charts, and tables you need in plain language. Layout is bound to certified metrics — changing a chart never rewrites the calculation underneath.

“Show job margin by product family for the last twelve months, with backlog beside it.”
Job margin
18.2%
Backlog
$2.4M

Start with ROI. Be ready for AI.

Connect systems, ship a working model, and grow into governed AI-ready data when the business is ready — without a standing data team.