Spec agents that
fill the gaps for you
Stakeholders don't send business and data specs. They have screenshots & spreadsheets, and provide context through recorded business meetings. Maxa reads all of it and writes the spec for you.
Trusted by leading organizations globally
Business requirements never arrive clean
They show up as conversation threads, call recordings, a slide deck or an Excel someone built a couple years ago.
Turning ambiguity into a data spec takes time. Maxa fast-tracks this process by reading the provided assets and extracting the things you actually need to build: entities, KPIs, business rules, fiscal calendar, source systems.
And it doesn't paraphrase. Every extracted fact links back to the exact place it came from.
Agents process, then ask questions to fill the gaps
Maxa processes your inputs and builds as much of the spec as it can. Anything it couldn't resolve, such as a conflicting date or KPI definition, becomes a targeted follow-up question.
Five minutes of answers now means no surprises when the pipeline runs.
The full spec to start your project right
Fully documented spec, out of the box
Project scope
What we're building, what's explicitly out, and what success looks like.
Reconciliation targets
Real figures and expected answers pulled from your inputs - revenue totals, customer counts, metric definitions - that the pipeline validates against at every step.
Business domains
Your industry, business model, org structure, and the terminology your team actually uses.
Use cases
The exact questions your stakeholders need to answer - everything else is built to serve these.
Processes
How your business actually operates: quote-to-cash, month-end close, order management.
KPIs
Your operational and financial metrics, with their definitions - not just their names.
Source systems
Every ERP, CRM, and platform involved, with modules, versions, and ownership.
Business entities
The core objects your business reasons about: customers, products, accounts, invoices.
Business rules
The constraints that make your data yours: intercompany exclusions, FX logic, fiscal boundaries.
Start with whatever you have.
Agents figure out the rest
Frequently Asked Questions
Maxa Spec Agents are AI agents that transform business requirements into structured data specifications. They analyze conversations, documents, spreadsheets, and other inputs to understand business logic before data pipelines are built.
Spec Agents can analyze unstructured business inputs such as meetings, emails, documents, spreadsheets, and existing business materials to extract requirements, metrics, rules, and expected outcomes.
When requirements are incomplete or ambiguous, Spec Agents identify missing information and ask targeted questions to clarify business logic before generating specifications.
Spec Agents generate structured specifications including business rules, data requirements, entities, relationships, metrics, validation criteria, and documentation needed for pipeline development.
Spec Agents reduce the gap between business teams and data engineers by converting complex business requirements into clear specifications that can be used to build reliable data pipelines faster.
Yes. Generated specifications can be reviewed, refined, and validated by business and technical teams before moving into pipeline development.