In plain language
- Agentic workflows: AI that can reason through a task and take actions, within the rules you define.
- Retrieval systems: assistants that find answers in your own documents and data.
- Integrations: connecting your tools so information moves without copy and paste.
- Operational automation: removing repetitive manual steps from daily processes.
Who it's for
Companies whose teams spend hours answering the same questions, moving data between tools, or repeating steps that a system could do.
The problem we solve
Generic AI tools don't know your business and don't follow your rules. Meanwhile, manual and operational work keeps growing with the company. We build systems that know your context, act within your limits, and take the repetitive load off your team.
What's included
- Use case discovery: which processes are worth automating, and which are not.
- Design and development of AI assistants and agentic workflows.
- Retrieval systems over your documents and data.
- Integrations with your existing tools and channels, such as WhatsApp, email, and internal systems.
- Guardrails: rules, limits, and handoff to a human, so the system acts as set up.
- Testing and monitoring to check quality over time.
What you get
- Systems that answer questions and handle tasks following your instructions.
- Operational and manual processes designed to be reduced substantially.
- A clear handoff to your team when a person needs to step in.
- Visibility into what the system does and how well it does it.
Examples of what this can look like
- A WhatsApp customer service bot: it answers common questions about products, hours, orders, or prices, and passes the conversation to a person when it can't help.
- A document assistant: your team asks a question in plain language and gets an answer based on your manuals, policies, or contracts.
- Invoice and report automation: documents are read, checked against your rules, and entered into your systems without manual typing.
- A request triage agent: incoming requests are classified, prioritized, and sent to the right person.
How we work
- Free initial assessment. We look at your processes and identify the best candidate to automate.
- Plan. We define one process, one measurable goal, scope, timeline, and price together.
- Proof of concept and build. We start small, prove it works, then expand.
- Launch and monitoring. We deploy with guardrails and keep checking quality.
Technologies
We choose models and tools based on your requirements, including privacy, cost, and where your data can live. Our common tools include Python and TypeScript, deployed on AWS or Azure, with Kubernetes when the system calls for it.
Common questions
Will this replace my team?
No. We automate repetitive work and keep people in charge of the decisions that matter, with handoff to a human when needed.
Can the system make mistakes?
Yes. Any AI system can. That's why we add guardrails, testing, and human handoff, and we measure quality instead of assuming it.
Is my data safe?
We design with security first and limit what the system can access. We'll go over your data requirements during the initial assessment.
Works well with
Product Engineering, to build AI into your product. Architecture, to design the systems around it. Launch Support, to prepare it for real traffic.