Your software
Stays in place.
We improve the existing request workflow instead of adding a new portal.
Make ownership, status and handoffs clear in the request software your team already uses.
Your software
We improve the existing request workflow instead of adding a new portal.
Your decisions
You set the priorities and approve any extra work before it starts.
Where does the day go?
In this fictional business, requests already move through one system. The avoidable effort comes from not knowing who has what, or what happens next.
A request waits until someone happens to notice it.
The next person has to ask what was already done before they can start.
Someone stops their own work to explain the process again.
An illustrative scenario for a business with 20+ employees, not a diagnosis of your team.
Two priorities, in an order you agree before delivery starts.
Priority A
Priority B
You confirm what fits, what comes first and what waits. In this example, the queue comes first.
Not included: new features outside these priorities, until you authorize them separately. Scope and capacity are agreed for each customer; no universal allowance is implied.
Each request shows its category, its accountable role and its current status. Requests with no owner are highlighted, so the coordinator can assign them first.
Concept preview · sample data
Sample requests with no owner yet, also counted in the Unassigned filter.
Every assigned request names the role responsible for the next step.
A consistent status plus a short handoff note tells the next person what was checked and what comes next.
Status only
Status with a handoff note
Illustrative comparison built from one sample request, not your team's current records.
An employee asks how to update a request that needs more information. The answer comes from the agreed guide, names its source and leaves the change to the employee.
Concept preview · sample data
The answer cites the guide section it came from.
AI does not change the request. The employee does.
The aim is less repeated explanation, not a measured result. AI help may use capacity or incur privately agreed charges; it is not always free.
What if we want more?
New requests are welcome. They do not slip quietly into the agreed scope.
AI flags that scope or cost may have changed. Added work pauses.
Your delivery lead sets out scope, timing, capacity and charge.
You, or your named approver, approve any additional charge BEFORE added work begins.
AI never authorizes scope, spending or acceptance.
A short list during authorized onboarding. Documents your team can use when the work is done.
To start
At handover
The decision
These two choices shape the start. Scope, acceptance criteria, fees and capacity are then agreed privately before delivery begins.
Decision 1
The queue first in this example, or the order that fits your team. You confirm what fits, what comes first and what waits.
Decision 2
The owner or a designated approver: the person who approves extra work before it starts and accepts delivered work.
Nothing is authorized on this page. It is a fictional example, not an offer.
Next: the team asks for something new →