Production systems that run real workflows — loan intake, sales pipelines, back-office operations. We get paid on the outcomes they generate.
Not SaaS. Not an agency. We deploy the agent, run it, measure every outcome it produces, and share in the results. If it doesn't perform, we earn less. Our incentives are your incentives.
Full applications — auth, UI, data, and deployment, not a chatbot
Every outcome attributed — usage and results tracked per client, per workflow
Dedicated infrastructure per client engagement
Paid on outcomes — our compensation scales with your results
Anyone can show you an impressive agent demo. Getting one to run a real workflow, in production, every day, with someone accountable for the result — that's what almost nobody delivers.
Most AI spend buys activity. It should buy outcomes.
WisBot is an operator, not a tool vendor.
We run the workflow itself. Not software your team has to adopt — a system that does the work, with us accountable for keeping it working.
We build the agent, deploy it into your real workflow, monitor it daily, and iterate until it drives measurable results. Your team stays focused on judgment calls and strategy.
Every agent we deploy maps to a number your business already tracks — deals closed, transactions completed, hours of work replaced.
Qualify leads, follow up, and advance deals across the sales motion — from first touch through qualified handoff or close.
Measured in deals & pipeline value
Drive transactions and demand — outreach, matching, content, and conversion optimization across your funnel.
Measured in transactions & conversions
Run manual workflows end-to-end — intake, document processing, routing, follow-up, and closeout.
Measured in throughput & hours replaced
Five stages. Weeks to production, not quarters. We stay after launch — that's the point.
| Stage | Phase | Description |
|---|---|---|
| 001 | Diagnose | We map one workflow and agree on the economic event that defines success — a closed deal, a processed application, a completed transaction. |
| 002 | Build | Full application on the WisBot platform — agent logic, UI, auth, data, and deployment pipeline. Not a prompt in a wrapper. |
| 003 | Validate | Tested against your real cases with your team in the loop before anything touches production. |
| 004 | Deploy | The system goes live on dedicated infrastructure, inside your actual workflow — handling real volume. |
| 005 | Operate | We monitor daily, handle exceptions, and iterate. Every outcome is tracked and attributed — that's what we get paid on. |
WisBot's primary model is revenue-share, not subscriptions. The agent has to actually generate outcomes for us to participate meaningfully — so we're structurally motivated to keep it performing.
This is not software revenue.
This is participation in real economic activity.
SaaS sells software. AI tools sell APIs. Consultancies sell hours. WisBot operates outcomes.
| SaaS | AI Tools | Consultancies | WisBot | |
|---|---|---|---|---|
| Sells | Software seats | API usage | Billable hours | Operated outcomes |
| Pricing | Fixed subscription | Per token | Time & materials | Revenue share |
| Who does the work | Your team | Your engineers | They leave after | We run it, ongoing |
| Incentive | Renewal | More usage | More hours | Your results |
This is how a small team operates many production systems. We built the full stack ourselves: agent runtime, sandboxed previews, one-command deployment to dedicated cloud infrastructure, and per-client usage metering down to the token.
It's also why "weeks to production" is real — the scaffold is already built. Every engagement starts at stage two.
Best fits have a workflow with real volume tied to a measurable economic event — deals, applications, transactions, processed items. If you can name the number, we can usually operate against it. Book a demo and we'll tell you honestly either way.
No. We take over the repetitive execution inside a workflow so your team spends its time on judgment, relationships, and strategy. Your people stay in the loop on decisions that matter.
Our compensation scales with the outcomes the agent generates. When results are weak, we earn less — which is exactly why we monitor and iterate continuously instead of shipping and disappearing. Specific terms are set per engagement.
Ownership terms are negotiated per engagement. Our default aim: you retain rights to the application and your data, and we continue to operate and improve the system.
Each engagement runs on dedicated infrastructure — your system on its own cloud resources, with usage and costs attributed only to you. Data handling specifics are documented per engagement.
Book a demo. We'll walk one workflow together, agree on the economic event that defines success, and tell you honestly whether it's a fit. If it is, most engagements reach production in weeks — the platform scaffold is already built.