AI stack · Deployment and governance
From pilot to production, with a paper trail.
Deployment is identity, evaluations, a gateway and a named owner. Governance is proving it afterwards. We do both, and we tell you when a pilot should stop.
Founded 2022 · Founder in the Salesforce MVP Hall of Fame · Dubai HQ · Kochi studio
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agentic systems · Agentforce, CrewAI, ADK, A2A
- 03Agentic memory · Neo4j, Cognee, IndyKite
- 04Automation and voice · n8n, Retell
- 05Deployment and governance · identity, evals, policy, audit
On this layer
What we put in.
The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.
Pilot or production
What production actually means.
Still a pilot
In production
- No named process
- One named process
- Nobody owns it
- A named owner
- Tested once, on the demo
- An evaluation set on every change
- Runs as a shared account
- Permissions that follow the user
- No log a reviewer can read
- A log a reviewer can read
Where it shows up
The work this layer does.
Use cases where these tools carry the job. Each one names the stack.
AI Sales Pipeline Automation
A pipeline the desk can trust. Lead scoring, opportunity tracking, and a forecast built from the org, not a side spreadsheet.
AI Customer Service Transformation
Cases, knowledge, and the channel the customer already uses. An agent on the repeats. A person on the exceptions.
Compliance monitoring
Audit, consent, and a trail that travels with the record. We will not invent avoided-penalty euros.
Legal document review
Contracts as a desk. Review, redline, and a lawyer on the exceptions. We will not invent a 209% ROI.
Financial reporting
Close, statements, and a pack finance can run without a rebuild. Salesforce plus the finance system of record.
Pilot to production
Three desks with a pilot nobody owns.
Typical starting points. We tell you when a pilot should stop.
Example
Head of risk, Riyadh bank
Today: The pilot passed its demo months ago. Nobody owns it, and it still runs as a shared account.
After: One named process, one owner, permissions that follow the user, and a log a reviewer can read.
Banking and financeExample
CIO, DIFC investment firm
Today: The board asks which rules apply to the firm’s agents, and how one would be stopped.
After: We map the frameworks that apply and start with the controls you can evidence this quarter.
For CTOsExample
COO, Abu Dhabi logistics firm
Today: Three AI pilots started last year. None of them finished.
After: A written note on each one: finish, cut or rebuild.
For COOs
Spec, shadow, gate
How the first agent goes live.
One named job. A shadow run before any write.
Week one
The job on one page: inputs, the write, the limit, who approves, and what it may never do.
Before go-live
The agent acts as the person it works for, with their access. Knowledge and permissions checked before it takes a job.
Shadow run
Shadow
The agent runs beside the person and writes nothing. You compare its calls with theirs.
Go-live
Writes go live behind a human approval. The gate loosens only where the shadow run earned it.
Every week
Every run is logged. On the Run plan we read the transcripts every week and fix what went wrong.
Questions
What buyers ask us.
- What does production mean for an agent?
- A named process, a named owner, an evaluation set that runs on every change, permissions that follow the user, and a log a reviewer can read. Without those it is still a pilot.
- Which frameworks do you align governance to?
- EU AI Act, NIST AI RMF, ISO 42001 and DIFC Regulation 10 where they apply. We map what applies to you and start with the controls you can evidence this quarter.
- Can you rescue a stalled pilot?
- Usually. We read what exists, find which of the common failure modes stopped it, and tell you in writing whether to finish, cut or rebuild.
The rest of the stack
One layer is not a system.
The plane this layer lives in, and the other four layers.
Control plane
One front door for every tool call and model call.
Models
The reasoning layer. We pick the model that fits the job, then deploy it so data stays where it should.
Agentic systems
How agents plan, call tools, and talk to each other. Frameworks and protocols, not a single vendor lock-in.
Agentic memory
What the agent remembers: graphs, identity, and long-term context so answers stay grounded.
Automation and voice
Workflows and voice agents that connect models to Salesforce and the rest of the stack.
Before you pick a partner
Read these first. Then call anyone.
Our buyer guides. They apply whether or not you hire us.
Choosing an AI partner in the UAE
Five kinds of partner compared, the PDPL, DIFC, Arabic and WhatsApp questions, and red flags.
Choosing an AI implementation partner
Evaluation criteria, deployment models, governance fluency, and red flags.
AI partner evaluation framework
A five-part scorecard: depth, governance, integration, security, delivery.
Questions to ask an AI partner
Architecture, security, governance, pricing, and who is accountable.
AI partner vs in-house team
Hiring timelines, real costs, and dependency risk, scenario by scenario.
AI pilot to production
Which of the four ways your pilot stalled, and the sequence that moves it.
The brief
Send the situation.
Name the process. We tell you which layer is missing. The assessment is free: a short read of the org and a written note. If you go ahead, the first build week is a fixed AED/SAR 14,900 (about USD 4,050), credited in full when you sign the build within 60 days.