New in Adeptia Automate 5.3 · AI Data Mapping
Stop writing mappings. Start describing them.
Tell the mapping agent what you need in plain language. It asks clarifying questions, builds the source-to-target map, and validates it before you publish.
Weeks → minutes
to a working mapping design
Zero
runtime AI cost or latency
2
knowledge bases working together
The problem
Mapping is where integrations actually die.
It’s manual, it’s slow, and it’s the biggest source of delay and error in most projects. It has also needed XSLT skills, which locks out the business users who understand the data best. And static maps break the moment a partner changes a field.
How it works
Natural language in. Deterministic code out.
- Describe it. Say what you need in plain language. No XSLT required.
- Answer its questions. The agent asks where your rules aren’t obvious, then builds the map.
- Validate, then publish. Run real or sample data end to end, or field by field, before it touches production.
Map the carrier’s 834 enrollment file to our member schema. Dependents go under the subscriber.
Should coverage end dates default to the plan year end when they’re blank?
Yes.
| Source | Target | Status |
|---|---|---|
| INS03 | member.relation | ✓ Valid |
| DTP*349 | coverage.end_date | ✓ Valid |
| NM1*IL | member.name | Review |
Built for the whole team, not just the mapping specialist
Plain language, not code
Describe the map. The agent builds it and shows you the result.
Smarter with every map
Your 100th mapping learns from the first 99, with no manual tagging.
Business users build it
Removes the most common bottleneck in onboarding new trading partners.
Validate before you publish
Test with real or sample data and see the output immediately.
Nothing hidden
Power users can open and edit the generated code anytime.
Ready for your agents
The same tools are available to your own AI agents as one step in a larger pipeline.
Why it’s different
No AI at runtime. By design.
Anyone can bolt a model onto a mapping tool. Adeptia’s agent does its work at design time, then hands off to compiled, auditable code the moment you publish.
Publish
The intelligence behind the agent
Two knowledge bases, not one
Adeptia’s base brings 25 years of integration expertise from day one. Yours learns from every mapping your team builds, isolated per customer and self-hostable.
Your model, your account, your data policy:
- Anthropic
- OpenAI
- Azure OpenAI
- AWS Bedrock
25+ years, day oneYour base
Learns from your historyBetter maps
A maturity story
Not bolted on for a release. Built release over release.
5.1
Suggests
AI-assisted mapping suggestions
5.2
Suggests more
Extended suggestions
5.3
Builds it for you
The agent builds the map. Now available.
One piece of the Intelligent ETL platform
Mapping runs alongside AI Business Rules, IDP, natural-language observability and agentic workflows, on Azure, AWS or Google Cloud.
AI Business Rules
Intelligent Document Processing
Observability
Agentic workflows
Bring a messy file. Watch it get mapped.
See AI Data Mapping and the full Automate 5.3 release on your own data.