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 unmapped source value. Confident answers are applied, the rest wait for your team, and every change is logged.

See AI map new suppliers in seconds

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 come up again and again, which is the kind of work automation handles best.
Consistency is hard to maintain manually
With many values to map, small inconsistencies creep in. The AI sees your existing mappings as examples and can be limited to a value set, which keeps its answers consistent.
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 gridmaps need attention? gridmap shows the unmapped count for every gridmap on the dashboard.

Built for real mapping work

Multi-provider AI
Anthropic, OpenAI or Google AI. Switch at any time without losing your mapping history.
Confidence thresholds
Every suggestion comes with a score. Confident mappings are applied; lower scores are flagged for review.
Custom instructions
Tell the AI about your domain, naming conventions and edge cases. It also sees examples from mappings your team has already made.
Scheduled automation
Scheduled syncs, with AI mapping of the new values straight after each one. Chain jobs so one starts when another finishes.
Multi-column mappings
Build keys from several source columns, and map each value to several output columns.
Never overwrites your work
AI only fills unmapped values and never overwrites an existing mapping. Every AI mapping is logged like any other change.

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 the same list is maintained once. Where a translation rule is clearly defined, AI applies it for you, and your team only judges the ambiguous cases.

01Much of it never needs mapping
Pull values straight from your sources and reuse them across gridmaps. Data that already lines up needs no mapping step.
02Clear rules map themselves
When the logic is well defined, AI applies the mapping with a confidence score, so obvious translations don’t wait on a person.
03People handle the judgment calls
Your team spends its time on the ambiguous values, not the repetitive ones a rule already covers.
Common questions

Frequently asked questions

What does AI mapping actually do? ⌄

AI mapping reads your source values (codes, labels, identifiers) and proposes a target value for each, based on what the value means rather than how it is spelled. It handles abbreviations, domain terms and common code patterns. Instead of someone looking up every code by hand, the AI proposes the mapping and your team reviews it.

How accurate are the AI mapping suggestions? ⌄

Accuracy depends on the quality of the source data and on how well the target values are defined. Attaching a value set limits the AI to answers you allow, and your instructions and existing mappings give it context. Every suggestion carries a confidence score, so you can let confident answers apply and send the rest to review.

Can the AI handle abbreviations and industry-specific codes? ⌄

Yes. You can give the AI instructions about your domain, naming conventions and edge cases, for example: "EMEA means Europe, Middle East, and Africa. SWE maps to Sweden." On a gridmap with several output columns, each column can have its own instructions.

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

Scheduled delta syncs pick up new source values from your connected databases. With auto-map switched on, the AI maps them right after the sync: confident answers are applied and the rest wait for review. Notifications can tell your team by email, Slack or Teams when new unmapped values arrive. Nothing is silently dropped: a new value stays in the gridmap, visibly unmapped, until someone handles it.

Do we still need to review AI suggestions manually? ⌄

You decide. Suggestions at or above your confidence threshold are applied automatically and the rest wait for review, so a higher threshold sends more of them to a person. Every AI change is logged, so you can check afterwards what was applied. The AI saves time, and 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, and you can use your own API key. AI mapping is included from the Basic plan.

How do confidence thresholds work? ⌄

Each gridmap, and each output column if you want, has a minimum confidence score (for example 0.85). The AI returns a confidence score with every suggestion. If the score meets the threshold, the mapping is applied. If not, the value waits for review, or, if you prefer, gets a placeholder such as UNKNOWN without review. This lets you balance speed against accuracy.

Let AI do the mapping. You do the approving.

gridmap is live. Ask for a free license that never expires, or talk to us about a plan with AI mapping.

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