Exclusive AI partner to 
for enterprise AI initiatives. AI Agent Development, From Idea To Production
Strategy, build, integration and governance in one engagement. UMENIT ships AI agents that take real action inside your systems, with the evaluation and guardrails that get them past your risk team.
End to end, not a proof of concept you have to finish yourself
Most AI agent projects die in the gap between a working demo and a system your business can actually depend on. We are built to cross that gap.
Use case selection
We start from a process with a measurable cost, not from the technology. If an agent is the wrong answer we will say so before you spend.
Agent architecture
Orchestration, tool design, memory, retrieval and fallback behaviour, designed for the failure modes your process actually has.
Model selection and evaluation
We benchmark candidate models on your data and publish the numbers. Model choice is an engineering decision, not a brand preference.
Systems integration
CRM, ERP, ticketing, data warehouse, telephony and internal APIs, authenticated through your identity provider.
Guardrails and governance
Scoped permissions, human approval gates, structured decision logs, and data residency that survives a legal review.
Run and improve
Monitoring on accuracy, latency and cost per task, plus a release process for prompt, model and tool changes.
Evidence before budget
You see the agent working on your own data before the build is commissioned. Timelines below are typical for a first agent with two or three system integrations.
Discovery
Process mapping, data access, success criteria and the go or no-go threshold, agreed in writing.
Proof of concept
A working agent on a slice of your real data, measured against the threshold you set in week one.
Build and integrate
Production implementation, connected to your systems, with logging, guardrails and an evaluation suite.
Deploy and hand over
Go live behind a human review gate, then documentation, enablement and optional managed support.
Deliverables you own outright
Every engagement ends with your team able to run and change the system without us.
- Source code and infrastructure as code, in your repositories
- Architecture and runbook documentation, written for your engineers
- Evaluation suite and benchmark results on your own data
- Governance pack: permissions model, data flow map, audit and retention design
- Monitoring dashboards for accuracy, volume, latency and cost per task
- Enablement sessions for the team who will operate it
Deliberately model-agnostic and platform-agnostic
We pick per use case, based on evaluation results and your existing cloud commitments, not on a vendor relationship.
Models
Orchestration and platforms
Where it runs and what it connects to
Responsible AI for large, complex enterprises
We are not a prompt shop. We have been shipping production software since 2016 and production AI since 2021, for organisations that cannot afford to get it wrong.
Enterprise track record
Exclusive AI partner to Dabur for enterprise AI initiatives, and delivery partner to clients across FMCG, insurance, healthcare staffing, parking and enforcement.
Award-winning team
Rising Star in AI and Cybersecurity, TechNext Summit Dubai 2025. 4.8 rating on both Clutch and Upwork.
Governance built in
Access control, audit trails, data residency and human review gates designed in from day one, not bolted on after the pilot.
Global delivery
Teams in Denmark, the UAE, India and Australia. Enterprise standards at a delivery cost that survives a CFO review.
Questions we get asked
What is the difference between an AI agent and a chatbot?
A chatbot answers. An agent acts. It reads your data, decides what to do next, calls your systems to do it, and escalates to a human when it should not decide alone. The engineering difference is tool access, memory, orchestration and guardrails.
How do you price AI agent development?
Fixed price for discovery and the proof of concept, then a fixed-price build scoped from what the POC proved. Optional monthly support after go-live. You know the number before the expensive phase starts.
What do we get at the end?
Working software in your environment, the source code, the architecture and runbook documentation, evaluation results, and a trained team. You own it. There is no lock-in to us.
How do you stop the agent doing something wrong?
Scoped tool permissions, deterministic guardrails on high-risk actions, human approval gates where the cost of an error is real, structured logging of every decision, and an evaluation suite that runs before each release.
Can you work with our in-house engineering team?
Yes, and we prefer it. Most engagements run as a joint team so your engineers own the system after handover rather than calling us every time something changes.
Bring one process. We will show you the agent.
A free demo built around a real workflow in your business, run by an AI architect rather than a salesperson.
