Internal workspaces
One place to work, review and track decisions.
Custom AI Platforms
Your way of working. Built into software.
Bring your data, workflows and AI capabilities into one purposeful platform. Give each role the tools it needs, with a foundation your team can maintain and extend.
This tends to fit when
You will recognise
at least two of these.
A custom build is not always the right answer. These are the signals that suggest it might be.
Your team runs the core process across a spreadsheet, a shared inbox and two tools that do not speak to each other.
You have bought software three times and configured your way around the same missing step each time.
Different roles need very different views of the same job, and today everyone sees everything.
A pilot proved an AI capability is useful, but nobody can use it without you in the room.
A product built around your way of working
A product shaped around your business.
Most businesses run on a workflow no product quite matches. The steps are yours, the rules are yours, and the software you bought was written for someone else. A custom platform is one place where that workflow actually lives: an internal workspace, a customer or partner portal, or a product you sell, with the data, the permissions and the AI capabilities behind one interface.
BYBO takes on the whole product, not one clever part of it. We frame who uses it and what a good outcome looks like, design the screens and the boundaries of the system, build the data model and the connections to your existing tools, and put a review queue where a person needs to check something. Every action the platform can take is agreed in advance.
What stays with people is judgement and release. Your team decides what quality is good enough, who may see which record, and when a version goes live. We build the evidence for those calls: real test cases, activity logs and a plain view of what the system did. Ownership after launch is explicit — an operating arrangement with us, or a documented handover.
A worked example
One screen,
two kinds of user.
The same claim, seen by the person who can settle it and the person who can only look.
What each role sees
Assessor
Policy & covervisible
Medical notesvisible
Draft assessmentvisible
Settle the claimcan act
Broker
Policy & covervisible
Medical notesnot fetched
Draft assessmenthidden
Settle the claimno
The role is not a setting on a screen. It decides what is fetched, what is shown and what can be pressed.
What the system did
Assembled the claim from four sources into one view
Drafted the assessment with the policy clauses it relied on
Hid the medical notes from the broker view entirely
The settlement is not the software’s to make.
The draft says ₹1,85,000 against a claim of ₹2,40,000, with the two deductions shown and the clause behind each. An assessor signs it. The broker sees the outcome once it is signed, never the draft.
Waiting on a person
Sunil, Claims AssessorAssessment drafted · four sources attached
Sign offSend backBuilt once, reused
Permissions, logging and the model layer are shared, so the second workflow costs less than the first.
It is your product
The code, the data and the operating documentation are yours, whoever runs it afterwards.
If you outgrow a model
The product and the model provider are kept separate on purpose, so one can change without the other.
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.
Customer & partner portals
Role-specific experiences built around a real service.
Proprietary AI products
Turn a validated use case into a usable product.
Connected capabilities
Share models, permissions and integrations across teams.
How the work runs
Five steps.
One of them is yours.
Five stages, each ending in a decision you make before the next begins.
- 01
Frame
We map the users, the workflow and what success looks like in numbers you already track. This usually starts as a paid [Blueprint](/blueprint), ending in a recommendation and a 90-day roadmap.
- 02
Design
We design the interfaces role by role and set the boundaries: what the system may do alone, what it must ask about, what sits outside it. You sign off before any build starts.
- 03
Build
We build the data model, the integrations and the AI capabilities in slices you can see working. Each slice comes with the test cases it has to pass.
- 04
Validate
Your people run the real workflow on real cases, not a script. Their findings set the release criteria, and anything unresolved is listed rather than quietly deferred.
- 05
Operate
After launch we monitor quality, cost and failures, and adapt the platform as the business changes. [How we work](/how-we-work) sets out the review rhythm.
Where a person decides
Your team signs off on quality, access and the release criteria before launch.
The line is yours to draw, and we write it down before anything runs.
Your team signs off on quality, access and the release criteria before launch, and that gate stays in place for every later change. Inside the platform, actions with consequences — a commitment to a customer, a payment, a record leaving your business — wait for a named person, with the context attached. Nothing is approved by default because it worked last time.
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.
A working platform for a defined first version
The interface, the data model and the workflow behind it, scoped to the users and tasks we agree at the start rather than everything at once.
Roles, permissions and a review queue
Each role sees and does only what it should. Work that needs approval waits in a queue with the context attached.
Connections to your existing systems
Permission-scoped links to the tools you already run, so the platform reads and writes real records instead of copies.
An evaluation set and release checks
Real cases the platform must handle correctly, run before each release so you can see whether a change improved things.
Logs, a cost view and documentation
A record of what the system did, what it is costing to run, and written handover covering the code, the operating steps and training.
What you need to provide
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
A named owner with the authority to decide scope, quality and release.
- 02
Representative examples of the work, including the awkward cases you would rather not show.
- 03
The current rules: who approves what, and what the exceptions are.
- 04
Access to the systems the platform must connect to, and the person who can grant it.
- 05
A baseline: how long the work takes today, how often it is redone and what it costs.
What it connects to
Built around what
you already run.
A platform is only useful if it reads and writes the records you already keep, so we agree each connection and the permissions it uses before anything is built.
- Your accounting or ERP software, for invoices, orders and ledgers
- Your CRM and sales records, for customers, quotes and pipeline
- Your identity provider, so access follows your existing joiners and leavers process
- Model providers, kept separate from your product so it stays portable
How it is judged
4 numbers, taken
before we build.
We agree a baseline before the build and review the same measures after launch, so the comparison is against your current process rather than an ideal.
01
Task success rate on the agreed set of real cases
02
Active adoption: how many intended users actually work in it each week
03
Response time for the tasks the platform is meant to speed up
04
Cost per completed task
build and running costs kept separate
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, because a platform is priced by what it has to do. We agree scope and fee in writing before any paid work begins, and the first conversation costs nothing. Where the shape of the work is unclear, the Blueprint is a paid diagnostic ending in a recommendation and a 90-day roadmap.
The main variables are the number of distinct roles, the systems it must connect to, and how strict the release checks need to be. Running costs are separate from build costs and depend on usage, so we show them as a range with the assumptions behind it. The cost guide explains the arithmetic.
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 do we know a custom build is not overkill?
Often it is. The honest test is whether an existing product plus a few connections would do the job at acceptable cost. We look at that first and will say so if the answer is yes. A build earns its place when the workflow is genuinely yours, several roles need different views of it, and the gap costs time every week.
Where does our data live, and who can see it?
Your data stays in systems you own, under access rules you set. The platform reads and writes through permissions we agree in writing, and every access is logged. We work to the least access that lets the workflow run. Our privacy page sets out how BYBO handles what we see during the work.
What happens when the platform gets something wrong?
It should fail visibly rather than quietly. Failures are logged, routed to a named owner and shown with the case that caused them. Wrong cases go into the evaluation set, so the same mistake is checked for at every release. Where a mistake would be expensive, that step waits for a person instead.
How much of our team’s time will this take?
Most of it lands in framing and validation. Expect your named owner to be available regularly through the build, and a small group of real users to test the workflow on real cases before launch. Gathering examples and writing down the current rules is the part businesses usually underestimate.
Will we be tied to you or to one model provider?
We design a sensible separation between your product and the model behind it, so the provider can change without rebuilding the platform. Code ownership, documentation and handover terms are agreed in the scope, not afterwards. If you later want to run it in-house, the documentation and training are written for that outcome.
Can we start smaller than a full platform?
Yes, and usually you should. A first version covering one role and one workflow tells you more than a specification does. If the need turns out to be narrower, a connected workflow from agentic operations may be the better build, and we will say so rather than sell you a platform.
Read more on this
Before you commit
to anything.
Build, Buy or Integrate: Choosing the Right AI Approach for Your Business
Most AI decisions are not about models. They are about who controls the workflow, the data and the roadmap. Here is how to choose between buying, integrating and building.
Read the article
The demo is the easy part.
Why reliable operation needs ownership, exception handling and a baseline.
Read the article
AI Vendor Lock-In: What Businesses Should Consider Before Building
Every AI system depends on someone else’s software. Lock-in is not a failure. It is a switching cost you should be able to name before you sign, and reduce where it matters.
Read the articleBring us the way you work
that no product supports.
We will tell you whether it is worth building — including when it is not.