Customer onboarding
Coordinate checks, tasks and handoffs across the business.
Agentic Operations
Move the work. Keep the control.
Give recurring work a clear path from request to resolution. Bounded agents gather context, use permitted tools and hand consequential decisions to your team.
Signs this fits your business
You will recognise
at least two of these.
If none of them sound like your week, this is probably not the system you need — and we will say so.
A single order touches four teams, and the delay is almost entirely waiting rather than working.
Your team lives in a chase: emails asking whether the check was done, the file sent, the customer answered.
The same reconciliation happens every month, and most of the effort is gathering evidence before the judgement.
Work is tracked in a spreadsheet nobody trusts, so status meetings exist to find out what is stuck.
You already automated a few steps, but they break at the handoffs where one tool has to talk to another.
What this system does
Carry multi-step work across teams and tools.
Some work is not one task but a sequence: a customer is signed, and then eight things must happen across four teams and three tools before anyone can invoice. Nothing in it is hard. It is slow because each step waits for a person to notice it. This system carries that work from request to resolution, doing the permitted steps itself and stopping at the ones that need a decision.
An agent here is a bounded worker, not a general assistant. It has a defined role, a list of tools it may use, the data it may read, the actions it may take and a point at which it must stop and ask. Given a trigger, it works out the next permitted step, gathers context, prepares the action and either performs it or presents it for approval with the evidence attached.
What stays with people is every consequential decision: money, commitments, anything a customer sees, anything hard to undo. Your team stops chasing status and starts approving prepared work. When something fails it is recorded and escalated rather than retried in silence, so a stuck case is visible on the day it sticks.
A worked example
One onboarding,
five days in.
A case moving through your business on its own, and the two places it is waiting on somebody.
Where the case is
- Account createdMon 11:02 · system
- Documents requestedMon 11:03 · system
- GST certificate chased ×2Tue, Thu · system
- Credit check runFri 09:38 · system
- Credit limit setwaiting on Arun
- Account activatednot started
Every step carries who did it and when. Nothing moves to the next step until the one before it is recorded.
What the system did
Created the account and requested the four onboarding documents
Chased the missing GST certificate twice, three days apart
Ran the credit check · limit suggested ₹4,00,000
Stopped. This one commits money.
A credit limit is a commitment, so it never sets itself. The suggestion is ₹4,00,000 against a requested ₹6,00,000, based on the check and two references. Anything above ₹2,00,000 needs a head of sales.
Waiting on a person
Arun, Head of SalesNotified Fri 09:40 · credit report attached
Set limitAsk for moreThe four steps before it
Ran without anyone touching them, each logged with a timestamp and an owner.
If the tool fails
The step retries to an agreed limit, then stops and tells a person. It never continues quietly.
If nobody answers
The case escalates on a schedule you set, rather than sitting in an inbox nobody owns.
Illustrative example built to show the shape of the work. Not a client record.
Where it is used
Four shapes of
the same problem.
Most businesses start with one and add the second once the queue, the logging and the connections already exist.
Order-to-cash
Prepare the next action with the order and account context.
Reconciliation
Investigate differences and package the evidence.
Internal requests
Route work, follow up and keep owners informed.
How the work runs
Five steps.
One of them is yours.
Every stage is recorded, so nothing is silently dropped or done twice.
- 01
Trigger
We agree what starts a case: a form, an email, a record created in your CRM, a scheduled check. Each trigger is registered, so a case can be traced to its origin.
- 02
Plan
The agent chooses the next step from the permitted set, based on the state of the work. It cannot invent a step outside that set, and unfamiliar situations route to a person.
- 03
Prepare
It gathers the context the action needs — the order, the account history, the document — and drafts the action, so nothing waits on someone assembling facts.
- 04
Approve
Consequential actions go to the named owner with the reasoning and evidence attached. Routine actions inside the agreed limits proceed without a queue, because approving everything is the same as approving nothing.
- 05
Act and log
The approved action runs against the connected tool and the result is recorded: what was done, by whom, with what data. Failures escalate by the rules you set.
Where a person decides
Money, commitments and sensitive changes stay behind agreed approval gates.
The line is yours to draw, and we write it down before anything runs.
Money, commitments and sensitive changes stay behind agreed approval gates. Those gates are written down before the system runs, not discovered afterwards: a value above which every payment is seen, any message that reaches a customer, any change to a contract or a personal record. Alongside them sit the limits — how many actions in a period, how much may be committed, how many retries before it stops. There is always a control that halts the workflow, and someone whose job it is to use it. We write about the design of these gates in permissions, logs and approval gates.
What you receive
5 things, and
they are all yours.
Not a demo and a slide deck. A running system, the evidence it works, and the documentation to run it without us.
One bounded workflow, running
A named workflow from trigger to resolution, each step defined and each connection agreed. Not a demonstration — something carrying real cases on the day it launches.
A permissions and limits sheet
A written statement of what the agent may read, which tools it may use, which actions it may take alone, what needs approval and when it must stop.
An approval queue with context
A place where the owner of a decision sees the prepared action, the evidence behind it and what follows if they approve, reject or send it back.
Failure handling you agreed in advance
Retry limits, timeouts, escalation paths and a stop control. A step that cannot complete is recorded and routed to a person, never dropped quietly.
Logs, a dashboard and documentation
A record of every case and action, a view of completion time and manual touches, and written operating notes for the people who run it.
What we need from you
5 things, and none
of them technical.
You do not need a developer. You need someone who knows how the work really happens, including the exceptions nobody wrote down.
- 01
One recurring workflow, described as it really runs today rather than as the diagram says.
- 02
A set of past cases, including the awkward ones that went wrong or needed an exception.
- 03
The decision rules and limits: what may proceed automatically, what must be approved, and by whom.
- 04
A named owner, with authority to change a rule when the evidence says it is wrong.
- 05
A baseline: how long a case takes end to end today and how many manual touches it needs.
What it connects to
Built around what
you already run.
Every connection is scoped to the narrowest access the workflow needs, granted by whoever owns that system, and tested on sample cases before it touches live records.
- Your CRM or sales system, for the account and order context a step depends on
- Your accounting or ERP system, where the financial side of a case is recorded
- Email and messaging, for notifications, approvals and the trail of what was sent
- Task and ticket trackers, so work stays visible where your team looks
- Document storage, when a step produces or requires a file
How it is judged
4 numbers, taken
before we build.
We record how the workflow performs today before building anything, then compare the same measures after launch and at each review point.
01
End-to-end completion time
from trigger to resolution
02
Manual touches per case
usually the number that moves first
03
Exception resolution time
and how many cases become exceptions
04
Cost per completed workflow
including the approval time it consumes
What drives the cost
No price here,
and here is why.
The honest answer depends on your work and your systems. Scope and fee are agreed in writing before paid work begins, and the first conversation costs nothing.
BYBO publishes no prices. What a workflow costs depends on how many steps it carries and how many systems it touches, so we agree scope and fee in writing before paid work begins. The first conversation costs nothing. Most engagements begin with the Blueprint, a paid diagnostic ending in a recommendation and a 90-day roadmap.
There is the cost of designing and building the workflow, and the cost of running it: the processing, the monitoring and the attention it takes when something fails. The second is easy to underestimate, so we set it out before you commit. The cost guide explains how the arithmetic tends to work.
Once
Design and build of the system
Every month
Running it, the review time it still needs, and monitoring
Before you enquire
6 questions we
are asked every time.
Answered plainly, including the ones with an uncomfortable answer.
Discuss this systemHow is this different from the automation rules we already have?
Rule-based automation follows a fixed path and breaks when a case does not fit. This handles the variation between cases — reading the context, choosing among permitted steps, preparing an action for judgement — while staying inside limits you set. Where a simple rule would do the job, we say so and recommend the simpler thing.
What if it takes an action we did not want?
It can only take actions on the permitted list, so the risk is a permitted action taken in the wrong case rather than something unexpected. Every action is logged with the reasoning and the data behind it, so it can be found and reversed where the connected system allows. Repeated misjudgements become a tightened rule or a new approval gate.
Can we stop it, and how quickly?
Yes. A stop control is part of every build, and it halts new cases immediately while leaving in-flight work visible rather than half-finished. Individual steps can be paused too. We test the stop before launch, because a control nobody has tried is not a control.
What happens to our data as it moves between tools?
The workflow reads and writes only what its steps need, under access your system owners grant. Where data is processed and how long records are kept is written into the scope. If a step would move sensitive information somewhere it should not go, that is a design decision we raise before building, not afterwards.
Does this need our documents to be in order first?
Not necessarily, though it helps. If a workflow depends on reading invoices or delivery notes, that reading may itself need document handling before the workflow can run reliably. The Blueprint identifies dependencies like this, so you are not surprised by a second build halfway through the first.
What is the first step?
A conversation about the workflow that costs you the most in waiting. If it looks suitable, a Blueprint examines real cases, sets a baseline and ends with a recommendation and a 90-day roadmap. You can also start an enquiry describing the workflow you have in mind.
Read more on this
Before you commit
to anything.
How Agentic Workflows Keep Recurring Work Moving Between Teams
An agentic workflow carries a multi-step task across your tools, inside limits you set. The value is not cleverness. It is that nothing waits for someone to remember it.
Read the article
How to Design Approval Workflows That Do Not Slow the Business Down
An approval should prevent a mistake worth preventing. Tier it by consequence, give the approver the evidence, set a response time, and retire the approvals that only add waiting.
Read the article
What Happens When an AI Workflow Gets Something Wrong?
Every AI workflow will get something wrong eventually. What separates a contained mistake from a damaging one is detection, a way to pause, an honest correction and a cause that actually gets fixed.
Read the articleBring us the request that
keeps bouncing between teams.
We will tell you whether it is worth building — including when it is not.