06Consumer goods
3core systems worked from one Teams request
DiscoverNight · Digital employee
OPERATEA colleague that finishes the task, not a chatbot that discusses it.
Routine work that finishes without a person in the middle.
Digital employees, document pipelines and integrations that read your systems, do the task and report back. Built in your tenant, on your keys, with a human stop before anything irreversible.
01What you get
A colleague that finishes the task, not a chatbot that discusses it.
DiscoverNight · digital employee
Teams is the front door to orders, inventory and the catalogue.
Staff delegate where they already talk. The system works three core systems and returns a finished output, such as a ready-to-send offer sheet.
Your tenant, your keys
Nothing is hosted by us.
Systems run inside your Microsoft or Google environment on your own credentials. Company data stays where it already is.
Control
Six checks, database-level deduplication, effective-dated mapping, then posting.
Monroe Biomedical
The AI read the 200-page protocol, answered the questions, then did the build.
Finance maps a new transaction type once. After that, entries post to the ledger at SKU level on their own. Anything ambiguous still stops for a person.
Human review, by design
02Typical agent tasks
Use agents where the inputs repeat but the work still needs reading, sorting or drafting.
Each agent works from approved sources, follows written rules, records its activity and escalates what is outside its remit.
Research
Build context before a meeting
- A brief from approved company, lead and internal records
Summarise
Turn long records into a usable brief
- Calls, documents and email threads, with the next action attached
Triage
Route requests with context
- Classify incoming work and assign it by your operating rules
Draft
Prepare a first version for review
- Replies, proposals, CRM notes, reports and checklists from approved inputs
Follow up
Surface stalled work
- Missing follow-ups and late handoffs, flagged to the owner
Post
Reconcile and post
- Transactions checked, mapped and posted to the ledger under repeatable controls
Extract
Read governing documents
- Protocols, contracts, specs and manuals, tables included, every answer cited to its page
The rule
Commitments stay with a person
- Pricing, legal, financial and customer commitments require review
- Permissions widen only after real outputs are checked
03How it runs
From request to finished task.
The flow a DiscoverNight request follows, from a Teams message to a done task.
- 01
Identify the bottleneck
A recurring delay, missed handoff or manual task with visible cost. Not a general wish to use AI.
- 02
Map the workflow
Trigger, inputs, decisions, outputs, owner and approvals on one page.
- 03
Build in your environment
The smallest system that produces a measurable result, in the tools you already run.
- 04
Validate on live work
Real orders, documents or exports before anyone calls it production. Exceptions stop for a human.
- 05
Train, document, measure
Staff training, runbook-ready documentation, and a number you can check.
From request to finished task
Operating flow04Selected work
Nine engagements, nine numbers.
05What clients said
In their words, after delivery.
“Three of our systems used to need a person sitting in the middle of them. Now the request goes into Teams and comes back finished, and month-end reconciliation stopped eating the team’s week.”
“Our coordinators were retyping eighty-page protocols by hand. The structure now comes out for review before anything touches the trial system, and none of it leaves our own cloud.”
06Related reading
Notes from the engagements behind this page.
07Before you book
Questions we get asked first.
What does AI implementation mean here?
Designing and running a usable process around AI: inputs, rules, permissions, approvals, outputs, handoffs, an owner and a measure. The model is one component. The process decides whether it is useful.
Will the agent act on its own?
Only within permissions you approve. It prepares, classifies, routes and posts routine work. Customer-facing, commercial or high-risk actions wait for review.
Does it replace our tools?
Usually the first system runs inside the tools you already operate: Microsoft 365, QuickBooks, your inventory system, your order feeds. Tool changes follow the process, not the other way round.
Where does our data go?
Nowhere. Systems are deployed into your own cloud and run on your own keys. Monroe Biomedical's protocol data has never left their tenant.
What is a good first system?
A repeatable process with known inputs, a clear output and a costly delay. Ledger posting, document intake, study setup and multi-system requests are common starts.
How is success measured?
A process number agreed before the build: hours removed, records posted, reconciliation issues open, days to upsell. Every case study on this site reports one.
Choose one process to fix first.
We will define the trigger, the owner, the review points and the number before recommending a build.