Solutions / AI mapping

Map thousands of values in minutes — with a human in the loop.

gridmap's AI proposes a mapping and a confidence score for every source value. Your team approves. Nothing is changed silently, and everything is logged.

The real cost

Every unmapped value is a gap in your reporting

Mapping takes more time than it should

Translating codes between systems is repetitive — the same patterns recur, the kind of work that benefits most from automation.

Consistency is hard to maintain manually

With many values to map, small inconsistencies creep in. AI suggestions keep mappings consistent across the board.

New values keep appearing

Source systems add codes regularly. Keeping up means someone has to notice, look them up, and map them — or automate it.

Progress is hard to track

How many values are unmapped? Which definitions need attention? A clear overview makes it easy to stay on top.

AI capabilities

Intelligent mapping, not just pattern matching

Multi-provider AI

Anthropic, OpenAI, or Google AI — switch anytime without losing your mapping history.

Confidence thresholds

High-confidence mappings auto-apply; lower scores are flagged for human review.

Custom instructions

Teach the AI your domain, naming conventions, and edge cases. It learns your patterns.

Scheduled automation

Cron-based sync and AI mapping. Chain operations: sync finishes, AI maps the new values.

Multi-column mappings

Map composite keys across multiple columns for complex scenarios.

REST API access

Single, batch, and reverse lookups with per-key access control.

Confidence you can see

Every suggestion comes with a score, so reviewers know what to trust and what to check.

You stay in control

Approve in bulk or one at a time. AI never overwrites a human decision without a trail.

Auditable by design

Each AI mapping is logged like any other change — fully reversible, fully attributed.

Less mapping, by design

The best mapping is the mapping you skip

Not every value needs a human decision. Pull values straight from your sources and reuse them across gridmaps, so identical data is never mapped twice. Where a translation rule is clearly defined, AI applies it for you — leaving your team only the genuinely ambiguous cases to judge.

Much of it never needs mapping

Pull values straight from your sources and reuse them across gridmaps. Data that already lines up doesn’t need a mapping step at all.

Clear rules map themselves

When the logic is well defined, AI applies the mapping automatically with a confidence score — obvious translations don’t wait on a person.

People handle the judgment calls

Your team spends its time only on the genuinely ambiguous values, not the repetitive ones a rule already covers.

Common questions

Frequently asked questions

What does AI mapping actually do?

AI mapping analyzes your source values — codes, labels, identifiers — and suggests the correct target values based on meaning, not just string matching. It understands abbreviations, domain-specific terminology, and common patterns. Instead of someone manually looking up every code, the AI proposes the mapping and your team reviews and approves.

How accurate are the AI mapping suggestions?

Accuracy depends on the quality of the source data and how well the target value set is defined. For common code mappings — country codes, status values, product categories — accuracy is typically above 80%. You can set confidence thresholds so high-confidence suggestions are auto-approved and lower ones are flagged for human review.

Can the AI handle abbreviations and industry-specific codes?

Yes. You can provide custom instructions that tell the AI about your domain, naming conventions, and edge cases. For example: "EMEA means Europe, Middle East, and Africa. SWE maps to Sweden. Use the target value set provided." The AI incorporates your context when generating suggestions.

What happens when a new source value appears that is not mapped?

Delta sync automatically detects new source values from your connected databases on a schedule. When a new value appears, it is queued and the AI runs immediately to suggest a mapping. Your team gets a notification and can approve, adjust, or reject the suggestion. Nothing is silently dropped or left unmapped.

Do we still need to review AI suggestions manually?

You control this. High-confidence suggestions above your threshold can be auto-approved. Suggestions below the threshold are queued for human review. You always have the option to review everything manually if your data or compliance requirements demand it. The AI saves time — your team stays in the loop.

Which AI providers does gridmap support?

gridmap supports Anthropic (Claude), OpenAI (GPT), and Google AI (Gemini). You can switch providers at any time without losing your mapping history. Bring your own API key.

How do confidence thresholds work?

For each mapping definition, you set a minimum confidence score (for example, 0.85). When the AI processes a value, it returns a confidence score alongside the suggestion. If the score meets the threshold, the mapping is auto-approved. If not, it is flagged for manual review. This lets you balance automation speed against accuracy risk.

Let AI do the mapping. You do the approving.

Join the early access list — we'll reach out as spots open.

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