AI agents that read, judge and write back
A workflow follows rules set in advance. An agent handles the work no fixed rule covers. It reads a document or message, works out what is in it, decides what should happen and writes the result back. Judging a request for quote on completeness, holding a contract against your standard terms, answering a mail with a draft that only needs checking.
WeAdapt builds those agents where the process already runs, connects them to your CRM, mail or project tool, and sets out the moments a person still looks.
What this gets used for
- Sorting incoming mail and preparing a draft reply
- Judging requests for quote on completeness
- Comparing contracts against your standard terms
- Summarising applications against the vacancy
- Classifying and routing support tickets
- Enriching leads and following up within minutes
Where ordinary automation breaks down
Rules hold up as long as every request looks like the last one. The moment something has to be read and weighed, the work falls back on a person.
Invoices, CVs and quotes arrive in dozens of shapes. A fixed rule trips over the first exception, so somebody ends up checking everything anyway.
Questions, requests and complaints come in mixed together. Someone reads all of it, decides what it is and passes it on. That is an hour a day that lives in no system at all.
Answering one question means checking the CRM, the inbox, the project tool and two folders. The answer exists, the gathering is what costs the time.
Someone puts every piece next to the standard and looks for the deviation. Most of it is fine, so most of the work is confirming what was already right.
What WeAdapt builds
Agents get a bounded task, access to exactly the sources they need, and a person at the point where a mistake costs money.
Reading and assessing documents
The agent pulls the data out of an invoice, CV or quote, puts it next to your own standard and reports only what deviates. Your team reviews the exceptions instead of the whole pile.
An inbox that sorts itself
Incoming messages are read, classified and routed to the right person or process, with a draft reply attached. What is urgent stands out, the rest waits its turn.
Research and summary
The agent gathers the information from your own sources and delivers a summary with references. Useful as preparation for a conversation, a report or a decision.
Writing back into your own tools
The judgement does not stay stuck in a chat window. The agent puts the outcome into your CRM, your project tool or your sheet, so the work continues where it belongs.
Live within a few weeks
An agent starts with a narrow task and a person behind it. Once it does that well, the mandate grows. The columns below are as wide as the step takes.
One conversation about which judgement your team makes by hand every day.
What the agent reads, what it decides on and when it pulls in a person. That is written down before anything gets built.
The agent runs along on real past cases, so you can see where it does well and where it does not.
The agent goes to work with a person on the approval. Your team gets the documentation and can adjust the mandate itself.
Who this is for
Invoices, CVs, requests, complaints. An agent reads them and pulls out what you need.
Sorting, classifying, checking against a standard. Predictable enough to learn, too much to do manually.
The agent does the groundwork, a person reviews what deviates.
If "if this, then that" is enough, a workflow is cheaper and more predictable. An agent adds nothing.
An agent prepares and proposes. Where money or a client relationship is involved, a person stays responsible.
What passes the model is written down up front. If that cannot be arranged, this is not the right route.
Questions about AI agents
A workflow runs a fixed sequence: if this, then that. An agent gets a task and works out which steps are needed, based on what it reads. Work that rests on rules becomes a workflow, because that is cheaper and more predictable. Work that needs a judgement becomes an agent.
By having it work from your own sources instead of from memory, by having it point to where something came from, and by putting a person on every outcome that touches money or a client relationship. An agent in doubt should hand over, not guess.
Only what the task needs. Access is arranged per source and written down before anything gets built. What passes the model and what stays inside your own environment is agreed up front.
Yes. The agent prepares and proposes, a person decides at the points that matter. Where exactly that sits is scoped in week 1 and can be adjusted later without rebuilding.
Yes. The agent reads and writes through the connections your tools already offer. No new platform is added and your team keeps working where it already worked.
Also worth a look
Which judgement does your team make over and over?
Book a 30 minute call, or send a message through the contact page. Robin replies within a day.