AI stack · How we engage
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. The first week is in the org, reading what already exists.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agents · Agentforce, CrewAI, ADK, A2A
- 03Memory · Neo4j, Cognee, RAG
- 04Identity · IndyKite, SSO, entitlements
- 05Governance · policy, audit, human override
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.
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.
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.