Six steps that turn scattered data into a governed operation, and repeat as your company grows.
Most of the hours a process costs are not spent deciding. They go into finding documents, re-typing them and checking them against each other, and that is the part AI agents take over.
What you win back
The same case. Two clocks.
Nothing about the work changes except who prepares it. Agents gather the documents, match them and assemble the case; your specialist opens it ready and spends the time on the judgement.
Finished after1 week
By hand
Every case is searched for, re-typed and cross-checked before anyone can decide. The clock runs the whole time.
Finished after15 min
With GUIDSE
The case arrives prepared, with the evidence already gathered. The clock barely moves before it reaches a decision.
Illustrative, not a measured result.
Six steps cycle, repeated.
Evolve feeds the next Gather. Every cycle widens what runs on its own.
1
GGather
What we do
Map the process, its volume, owners and every source it depends on.
What you get
A process map and an inventory of your data sources.
What runs underneath
Integrations, email intake, data ingestion.
Your team’s role
Your process owner explains how the work really happens.
2
UUnify
What we do
Build one governed data foundation and mask every sensitive field.
What you get
A trusted dataset with lineage, ready for AI.
What runs underneath
Business Hub and Privacy Wall.
Your team’s role
You confirm which data is sensitive and who may see it.
3
IInterpret
What we do
Configure teams of AI agents to read, classify and cross-check the work.
What you get
Every case prepared the same way, every time.
What runs underneath
Agent teams, readiness tests, skills.
Your team’s role
Your specialists check the first results.
4
DDecide
What we do
Define where people approve, reject or redirect a case.
What you get
Clear approval points, with every decision recorded.
What runs underneath
Approvals and exception routing.
Your team’s role
You decide what needs approval and who approves it.
5
SSystematize
What we do
Put the flow in production and deliver it to the people who use it.
What you get
A process that runs on its own, and simple apps for your users or clients.
What runs underneath
Pipelines, scheduled checks, Delivery Studio.
Your team’s role
Your team works with the process day to day.
6
EEvolve
What we do
Measure the capacity delivered and choose what to expand next.
What you get
A baseline and a monthly read-out of results.
What runs underneath
Dashboards and the execution record.
Your team’s role
You review the read-out with us and pick the next process.
U
Why it works
The difference is in the U.
Agents are only as good as the data they see. We unify and mask your data first, so AI works on clean, governed information and never on raw sensitive fields.
Why GUIDSE
A working agent is a component. A working process is an operation.
The value does not come from one prompt, agent or integration. It appears when context, recurring work, exceptions, approvals, access, cost and measurement are designed together around a result the business needs.
Typical agent or workflow tool
GUIDSE
Starts with a model or a prompt
Starts with your data and your process
Leaves the customer to assemble the process
Configures the process around the real operation
Confirms that a task ran
Measures whether the outcome improved
Sends exceptions outside the workflow
Makes exception paths explicit
Adds controls after implementation
Designs approvals, access and budgets into the process
Sends raw data to the model
Masks sensitive data before any model sees it
Every engagement starts with 45 minutes.
45min
1
Your process mapped
The steps, systems, people and exceptions, on one page.
2
Where the method applies
Which steps GUIDSE can take on, and which stay with your team.
3
An estimate of the capacity it can free
In hours and volume, based on your numbers.
You leave knowing where the hours go today, and how many of them the method can give back, counted on your own volumes.
