Nobody buys software. They buy a bottleneck that stops costing money.
Every front below exists because some part of the operation jams, and that jam has an annual price tag. The work starts by measuring that price. Then comes the system, the AI agent or the integration, always in stages with scope, date and price fixed.
- Invoice checking62R$ 74k
- Customer replies48R$ 51k
- Month-end in spreadsheets30R$ 39k
- Duplicate records24R$ 28k
four processes, none of them urgent enough to become a project on its own
Three fronts, and the same rule across all three.
These are not nine shelf products: they are three ways of giving control back to an operation. Most projects start on one front and touch the next as a consequence: the new system asks for integration, and the integration asks for a dashboard.
Predictability Build the system the operation does not have yet.
When the process no longer fits in a spreadsheet, in email or in the system from 2011. The risk here is not technical, it is scope: that is why each piece goes live before the next one starts.
Web systems and internal platforms
A custom system for the process that today lives scattered across a spreadsheet, a WhatsApp group and the memory of two people. Custom CRM, lightweight ERP, customer portal, KPI dashboard, with role-based permissions and audit built in from the first stage.
- Custom CRM and ERP, customer portals
- Role-based permissions and audit trail
- Replaces the spreadsheet without becoming hostage to it
MVPs and digital products
For those who need to find out whether the idea has customers before building the whole product. The first stage delivers the path that proves the hypothesis, live, with real users. The repository is already in your name.
- Web, mobile or SaaS
- First version live in a few stages
- Repository and environment in your name
Legacy system modernization
An old system nobody wants to touch, yet it holds up revenue. Stage-by-stage migration, with old and new coexisting. Never a weekend big-bang, because the operation cannot stop so a vendor can test a hypothesis.
- Stage-by-stage migration, no big-bang
- Old and new running side by side
- Includes legacy languages and databases
Security Put AI to work without the data leaving home.
The question that stalls corporate AI projects is almost never "does it work?". It is "where does this document end up?". That is why the default answer here is an agent running on your infrastructure, with role-based permission and a trail on every query.
Private AI agent (on-premise)
AI installed inside your infrastructure or your own cloud, with the keys in your name: no document leaves the network and nothing becomes third-party training data. This is the design for anyone handling contracts, medical records, payroll or customer bases that cannot go outside.
- Local LLM, no third-party cloud
- Audit trail on every query
- Designed for data protection from the architecture up
AI agents for companies
An agent that takes over a whole day-to-day task: triaging support, checking invoices, assembling reports, answering internal queries. All wired into the systems the team already uses. It is not a chat: it is a colleague that executes and leaves a record of what it did.
- Assisted support and triage
- Contract and document lookup
- AI cost measured per query
Document AI and smart search
Contracts, policies, manuals and internal bases become one thing that answers questions with the source attached. The answer respects the asker's permissions: whoever cannot see the document does not see its summary either.
- Semantic search across PDFs and contracts
- Answers with source and citation
- Per-user and per-team permissions
Observability Make the operation visible instead of narrated.
The information already exists: it is in the ERP, the CRM, the inbox and the head of whoever operates. What is missing is it arriving together, on time, and speaking up on its own when it goes off-normal.
System integration
ERP, CRM, WhatsApp, email, databases, spreadsheets, APIs and legacy systems finally talking, including the old ones with no documentation. Every integration ships with alerting: when it fails, you know before the customer does.
- ERP ↔ CRM ↔ WhatsApp ↔ spreadsheet
- Reprocessing without duplicating records
- Alert in your channel when the bridge drops
Process automation
The tasks that eat the team's week without producing anything: approving, notifying, copying from one system to another, assembling the same report every month. Automation here ships with a record of what ran, so nobody has to trust silence.
- Approval and notification flows
- Automatic document generation
- Recurring reports without typing
CTO on demand
For the company that has to decide on technology without anyone inside to decide: evaluating vendor proposals, reviewing architecture, prioritizing a roadmap, saying when building is not worth it. It is very good at revealing that the project you were about to hire does not need to exist.
- Recurring sessions with leadership
- Vendor and proposal review
- Mentoring for your internal team
This is not a differentiator. It is the floor, and it comes with every front.
None of the below is billed separately, and none of it depends on project size. If a vendor offers you any of these as an optional line item, it is worth asking why.
Scope, date and price per stage
Before anything starts, you read what the stage delivers, what it does not, when it goes live and what it costs. What is not written is neither billed nor promised.
Environment, repository and keys in your name
From the first commit to the last. There is no "Steply environment" where your system lives. It is born where it will stay, and you never have to ask for access to what is yours.
Open dashboard for as long as it runs
Availability, errors, response time, AI cost per query and delivery history. It is the same dashboard our team uses, not a trimmed-down client version.
And what Steply does not do.
A catalog that accepts everything is not a catalog, it is an ad. We turn down these four even when the client insists, and explain why on the spot.
Staffing by the hour, with no deliverable
Body shopping transfers the entire risk to the buyer: you pay for hours, and the result is your problem. If what you need is hands under your own management, there are people who do that better and cheaper.
Quoting a six-month project in one meeting
A number given with no diagnosis is a guess dressed as a proposal. Either it comes in too high and you walk, or too low and turns into change orders halfway through.
Adding AI where the problem is the process
A good share of the "AI agent" requests that reach us are solved by one integration and one required field. We say so before selling the agent, even when it costs us the bigger sale.
Keeping a client through dependency
No closed code, no environment only we can access, no documentation held back as contract leverage. If you want to leave, you leave with everything running. That is how it works from day one.
Before picking a front.
I do not know which of these fronts my problem falls into.
That is the most common case, and it is not on you to figure it out. Diagnosis starts from the process, not the technology: we measure where the operation jams and what it costs per year, and the front shows up as a consequence. Sometimes the answer is that none of them is justified yet. And that is worth the conversation too.
Can we start with a small piece?
It is the default, not the exception. The first stage usually clears a single bottleneck, in 2 to 6 weeks, with scope and price fixed, and goes live before any commitment to the second exists. A big project here is a sequence of small stages that kept making sense, not a long contract signed upfront.
Do you work with the internal team we already have?
Yes, and it is usually the arrangement that pays off most. The internal team knows the operation and the exceptions no documentation records; Steply comes in on the part that stalls for lack of time or expertise. The code lives in your repository from day one, so there is no "handover" moment. It is already there.
Does the AI really have to run inside our infrastructure?
Not in every case: it depends on the data it will read. For public or low-risk content, a cloud model under a proper contract works and costs less. For contracts, medical records, payroll and customer bases, the on-premise design stops being a preference and becomes a requirement, and that is where it pays for itself.
How much does one of these fronts cost?
Price is per stage, not per front, and it comes fixed in the stage document before work starts. The pricing ladder shows the entry sizes: diagnosis, first stage live, the operation's system and continuous evolution. What sets the number is how the bottleneck is cut, and that is exactly what diagnosis produces.
Start from the process that hurts most, not from the technology.
Tell us which part of the operation eats time without producing anything. You leave the conversation with the bottleneck measured and with the scope, date and price of the first stage, even if you decide not to move forward.