Corporate AI
AI for business: intelligence built into your processes, with governance and cost under control
Buying an AI tool for every team member does not change the company. What changes it is AI inside the processes: reading documents, answering customers, deciding the next step and logging everything. OnWeb implements corporate AI that your company owns.
- AI providers orchestrated: Anthropic, Google and OpenAI
- 3
- AI providers orchestrated: Anthropic, Google and OpenAI
- companies with our AI in production on this site
- 5
- companies with our AI in production on this site
- typical AI cost per conversation or document
- Cents
- typical AI cost per conversation or document
- data governance from the design stage
- Privacy
- data governance from the design stage
Where to start with AI in your company
The most common mistake is starting with the tool. The path that works starts with the process: where the team spends hours repeating tasks, where customers wait for answers, where information is trapped in PDFs, photos or emails.
In the assessment, OnWeb maps those points and estimates three things for each: how much time or revenue AI frees up, how much it costs to build and how much it costs to run per month. What goes first is the best return with the lowest risk.
AI applications already working
Real examples in companies from different sectors:
Document reading
a photographed electricity bill becomes consumption and savings data at Luz no Bolso.
Consultative sales
Safetline's assistant recommends the right boot for each job.
Automatic quotes
the Master Milhas chatbot checks the price and creates the CRM card.
WhatsApp support
Alfred answers Netlinks Group clients in each brand's voice.
Content at scale
Crownler's content factory writes with two models and compares versions.
Translation and catalog
products translated into English and Spanish on save, and 3D models generated from photos.
Corporate AI: rent a tool or own yours
Ready-made AI tools help people. Corporate AI helps the company: it lives inside your systems, uses your data with permission, follows your rules and keeps a record. The result is an asset that improves with use, instead of a per-seat subscription.
| Per-user AI tool | Custom corporate AI | |
|---|---|---|
| Where it lives | In each person's account | In the company's systems |
| Data | Copy-pasted into the chat | Read from the source, with permission |
| Business rules | None | In code |
| Traceability | Low | Every action logged |
| Cost | Per person, every month | Per use, visible in a dashboard |
| Owner | The vendor | Your company |
Governance, security and privacy
AI in production needs rules as clear as any financial system's:
- Protected data: models used through enterprise APIs, where submitted data does not train the providers' models.
- Least access: each agent sees only the data it needs for the task.
- Everything logged: conversations, documents read and actions taken are auditable.
- Human in the loop: modes where AI suggests and someone approves before it acts.
- No cost surprises: the right model per task and a spend dashboard per provider.
- Failover: if an AI provider goes down, the system continues on another.
Which AI model to use
There is no single best model for everything. Claude tends to do better at long reasoning and writing; Gemini at vision, documents and cost at volume; OpenAI models at some vision and voice tasks. OnWeb orchestrates all three and picks per task, testing with your data. All infrastructure runs on Google Cloud.
What you get
AI assessment
a map of opportunities with estimated return, build cost and monthly cost.
Pilot project
the first application in production, with before-and-after metrics.
System integration
AI connected to CRM, ERP, website, WhatsApp and internal data.
Usage policy
rules for data, human approval and logging, aligned with privacy law.
Cost and usage dashboard
what each AI application consumes and delivers.
Roadmap
the next applications ranked by return.
How we implement AI in your company
- 01
Assessment
interviews with each area and a review of processes and available data.
- 02
Prioritization
choosing the pilot with the best return-to-risk ratio.
- 03
Building the pilot
integrated AI with business guardrails, tested on real data.
- 04
Measurement
time saved, conversion, errors avoided and cost per use.
- 05
Scale
new applications on the same base, with governance already in place.
Built by OnWeb
Energy · Community solar comparison
Luz no Bolso
A community solar comparison platform with 75 companies in 26 Brazilian states and EDI, an AI that reads a photo of the electricity bill, compares local providers and completes sign-up in the chat.
Read the case
Manufacturing · Safety footwear
Safetline
A three-language website with its own management panel, an AI assistant that recommends products, 3D models generated from photos and 627 legacy URLs migrated without losing Google.
Read the case
Internal platform · AI-powered operations
App Netlinks and Netlinks Group
The platform that runs the Netlinks Group: an MSN-style inbox integrated with clients' WhatsApp groups, Alfred answering as customer success, and finance that issues invoices and reads the bank balance on its own.
Read the case
SaaS · SEO and GEO
Crownler
An SEO and GEO SaaS in four languages: it reads the whole site and draws it as a map, tracks Google and AI answers, produces content and talks to AI agents via API and MCP.
Read the caseFrequently asked questions
My company is small. Does AI make sense?
It does when there is a process with volume: support, quotes, sign-ups, document reading. AI usage costs are low and returns show quickly when the process is well chosen.
Do I need organized data before using AI?
It helps, but it is not a prerequisite. Part of the work is organizing the data source the AI will use, and AI also helps structure data that today sits in PDFs and images.
How much does it cost to implement AI in a company?
The pilot has fixed scope and investment. Monthly model usage typically costs cents per conversation or document and is visible in a dashboard.
Will AI replace people on my team?
In practice it takes repetitive work off the team (copying, checking, answering the same question) and leaves people with what needs judgment, relationships and decisions.
What is the difference between AI for business and AI consulting?
Consulting delivers recommendations. OnWeb delivers AI working in your systems and keeps operating and evolving it with your team.
Related services
Shall we turn your business on?
Tell us what you need. We reply with a diagnosis of the technical path, timeline and investment, with no strings attached.