AI agents & assistants
Make AI useful inside your business.
CAPABILITY BLUEPRINT / DEVENS AI
From requirement to delivery
What we can build together.
- Use-case discovery and agent workflow design
- Tool calling and multi-step orchestration
- Human approval, retries, and activity logs
- Response evaluation and operating-cost review
Engineering this service
The decisions behind the delivery.
A typical integration pattern
A conversation or business event passes through an agent with approved tools, scoped permissions, and explicit handoff or approval steps.
How delivery is led ↗Risks we plan around
- An agent attempting an action outside its authority.
- Ambiguous requests, prompt injection, or missing context.
- Unbounded tool loops, latency, and variable model cost.
How we check the result
Evaluate representative tasks and failure cases, including prohibited actions, escalation quality, tool errors, and operating cost per task.
Relevant experience / Founder portfolio
See the thinking in practice.
AI agents & supportAI agents & support
PetsFirst - AI Support & Booking Agent for a UAE Veterinary Chain
A conversational WhatsApp agent for veterinary enquiries, booking, and staff handoff.
Founder portfolio · Explore the project
AI & wellnessAI & wellness
WellmeAI – AI-Powered Therapy Assistant for First Responders
A text and voice companion built with a therapist’s methods and contextual conversations.
Founder portfolio · Explore the project
Before we begin
A little more clarity.
Practical answers for your next software project.
Will an agent act without human approval?
Only for actions explicitly approved in the scope. Higher-impact actions can require confirmation, while unsupported requests move to a human or a safe fallback.
How do you judge whether it works?
We build an evaluation set from real task examples, expected behavior, and failure cases. Model fluency alone is not a success criterion.
Your next chapter
Bring the challenge. We’ll help define the next step.