AI for the work your business does
Less time gathering information and chasing updates. Explore the Day&Night approach to turning requests into deliverables with AI, a record of the work and review by your team.
Work with continuity
A request arrives. Information is scattered. Someone has to find what is missing, track progress and check the result. That work between the steps is what we aim to organize with AI.
01 / From concept to work
Three illustrative scenarios show the request, the steps and the expected output. Each application depends on its scope and available sources.
Operations / recurring work
The request
“What is still pending this week and needs my attention?”
The process
The expected deliverable
A summary of outstanding work, with sources, owners and the next decision.
Missing information is marked as an open item, never a conclusion.
Sales / account preparation
The request
“Organize what we need to know before speaking with this company.”
The process
The expected deliverable
An account brief with sources and a conversation outline. Material that helps the team decide its approach without starting from scratch.
External outreach and commercial terms remain subject to approval.
Development / investigation
The request
“This workflow stopped working. What changed and how do we fix it?”
The process
The expected deliverable
A diagnosis, proposed fix and verification evidence. A deliverable that someone else can assess and continue.
Access and deployment follow the environment and the team’s policy.
Illustrative application scenarios. Scope, feasibility and integrations are assessed with each company.
02 / How it works
This is the workflow behind the Day&Night approach.
Choose a task and what needs to be ready at the end.
Define which information can be used and which actions need your approval.
Check the deliverable, its references and anything that still needs a decision.
Context before action. Evidence before conclusions. People behind the decisions that matter.
Inside an operation
Explore a simulation of context, execution and review. Open the log and switch scenarios to see what happens when an action falls outside its limits.
View the simulationSimulation of a fictional request. No external system will be used.
The log will appear as the simulation progresses.
Reduced motion · result without animation
03 / Context makes the difference
A request becomes more useful when it brings together the objective, available information and decisions already made. The aim is to keep that history with the work.
Revisit the work examplesThe problem to solve and the outcome you expect. The objective comes before the tool.
Relevant documents, history and references. What we know — and what still needs confirmation.
Owners, access and approval points. Autonomy needs a clearly defined scope.
What needs to be delivered and which evidence lets you check that the work is complete.
Objective, sources, limits and completion criteria. A shared starting point.
04 / Work examples
Example applications to explore with the team, based on your sources and business systems.
Organize what is blocked, who needs to decide and what comes next.
Gather sources and questions so the team can arrive prepared.
Organize symptoms and evidence to assess a fix.
Gather a request’s history and draft a response for review.
05 / Autonomy with direction
Before an application begins, we need to agree on what can run, what needs approval and how the result will be reviewed.
Work starts with an objective, available sources and an expected result.
Define what can move forward and which actions need approval.
Check the deliverable, references and outstanding issues before moving on.
06 / DAY & NIGHT
Work changes stages and owners. Day&Night aims to preserve its history so the next person knows what happened and where to continue.
Between an intention and the next deliverable, there is a thread worth preserving.
07 / A considered starting point
Tell us how this work happens today. We can assess which sources it needs, what output would make a difference and where AI could help.
Describe a workflow that needs follow-up and where your team encounters obstacles.
Identify the available information and who needs to approve each action.
Define a useful deliverable and how your team could review it.
For the first conversation
To start the conversation, describe a typical request. The team can help identify any missing information.
08 / Before getting started
Understand what you can explore today and what needs to be defined for your business.
You can explore the simulation on this page. It illustrates the workflow without accessing your business systems. To assess an application in your context, talk to the team.
The aim is to support your team’s work. Priorities, review of deliverables and sensitive decisions remain with the people responsible.
Sources, systems and permissions are assessed for each application. Feasibility must be confirmed before an integration is included in the scope.
Describe a recurring task and the difficulty your team faces. The conversation starts with the expected result and the information needed to assess it.
The limits of autonomy need to be agreed for each task. The simulation lets you explore what happens when an action falls outside its authorized limits.
Missing information needs to be flagged as an outstanding issue during review. When defining an application, we agree on how to identify these gaps and who can resolve them.
09 / Let’s talk
Tell us how it works today and what you would like to receive. Together, we can assess a first application for your business.
