AI agents that execute real work, not just answer questions
We design and build AI agents that pick up multi-step tasks — research, drafting, decisions, execution — and carry them end to end, built on Claude (Anthropic), so your team stops doing the repetitive work and focuses on what actually needs human judgment.
An AI agent doesn't answer a question — it completes a goal
That's the real difference from a traditional chatbot: instead of giving one answer and waiting for the next message, an AI agent takes a goal, connects to the systems and data your business already uses (CRM, email, documents, databases), and executes the steps needed to get there — with checkpoints where a human signs off before any irreversible action.
It doesn't replace your team. It takes the high-volume work off their plate — research, drafting, follow-ups, data extraction — so they can focus on the decisions that actually need human judgment.
Where an AI agent pays for itself in the first month
Every build is designed around a concrete use case from your operation, not a generic demo.
Research & drafting
Agents that research, draft proposals, reports, or content, and hand them to your team ready to review — not starting from a blank page.
Support & lead qualification
Answer inquiries, qualify a prospect against your own criteria, and only escalate to a person when it's actually needed.
Sales follow-up
Chase proposals and opportunities that get lost today because no one has time to send the third follow-up email.
Document processing
Read contracts, invoices, or forms, pull out the relevant data, and load it straight into your systems — no manual entry.
Internal support
Answer your own team's recurring questions — policy, process, information scattered across documents — without someone having to dig for it.
Automated reporting
Pull and distribute recurring reports across multiple data sources, ready before anyone has to ask for them.
The same technology banks and large enterprises use, at SMB scale and SMB pricing
From idea to a live agent, in four steps
Assessment
We map your real process and find where an agent pays off fastest — 2 to 4 weeks, with scope and cost defined before you commit.
Agent design
We define the goal, the systems it connects to, and the checkpoints where a human signs off before an irreversible action.
Build & integrate
We build it and integrate it into your existing systems — no asking you to migrate or replace what already works.
Measure & iterate
We measure the result against the original business goal and keep tuning — the agent keeps improving after delivery, it doesn't stop there.
What people usually ask us
What is an AI agent?
An AI agent is a system that can take a multi-step task — research, drafting, deciding between options, executing an action — and complete it end to end, instead of answering a single question the way a traditional chatbot does.
How do AI agents work in a business?
They connect to the systems and data your business already uses (CRM, email, documents, databases), take a goal, and execute the steps needed to reach it — with checkpoints where a human signs off before any irreversible action.
How much does it cost to implement AI agents?
It depends on scope, but Qwavee works on predictable monthly capacity plans billed in USD instead of large fixed-price projects — every engagement starts with a 2-4 week assessment that defines scope and cost before you commit.
What makes Qwavee different from other AI agencies?
We're an official Claude (Anthropic) partner, with 20+ years of engineering experience and ISO 9001 certification. We pair that technical foundation with a nearshore LATAM team working in your time zone, at nearshore rates.
