We design and deploy autonomous agents for Saudi Arabia's energy and real estate industries, with a finance operations practice that runs through both. Built to run in production, answerable to a regulator, and trusted with what actually matters.
An agent is not software you install. It is a decision-maker you are accountable for, which is why we design them the way you would design a colleague.
Agents absorb the volume: the reconciliations, the routine steps, the work that used to consume a day. What is left for people is the part that actually needs them.
It executes the process end to end: reading, reconciling, flagging, and acting within the boundaries it was given, continuously and without drift.
The moment a case falls outside its boundaries, the agent stops and escalates, with the full context attached, instead of guessing at the answer.
People shift from doing the work to directing it: reviewing exceptions, making the calls that carry real consequence, and setting the standard the next thousand cases follow.
That shift, from executing the work to orchestrating it, is where the gain in speed and value compounds, concentrating human judgment on the decisions that actually deserve it.
Twenty years leading technology and data organizations in energy and the built environment taught us where the real workflow lives, not the demo version. Every engagement begins with the operating model and the cost of being wrong, specific to the industry we're standing in.
From reservoir to reactor, agents that find signal in noise: optimizing production, forecasting grid load, and holding the line on asset integrity where failure is never an acceptable variance.
Upstream · Downstream · Power · Net-Zero PathwaysAgents that read a portfolio the way an asset manager does: reconciling leases, tracking facility condition, and turning property operations into a system instead of a spreadsheet.
Lease Administration · Facility Operations · Portfolio ReportingEach family spans the full breadth of its function, not five variants of one workflow. Every agent below is a distinct piece of work with its own owner, data source, and measurable outcome.
Underwriting, payables, revenue, and tax look the same problem from four angles, and they show up inside every energy and real estate engagement, so we built them as their own families instead of folding them into one. We are particularly good at finding and fixing the invoice and payroll billing leaks that quietly drain margin long before anyone notices.
We stay attached from architecture to production operation: the same discipline that turned economic models into twelve production-grade policy simulators, not a handoff to a systems integrator or a pilot left orphaned in a slide deck.
We begin with the decision, not the model. Every engagement starts by naming who is accountable when the agent is right, and when it isn't.
Agents composed from evaluated tools and retrieval, instrumented for measurement from the first line of code, not after the first incident.
Into your environment, on your terms: cloud, on-premise, or fully air-gapped, with the access controls and audit trails your regulator will ask for.
A standing discipline, not a checkbox. We hold every agent to no-hallucination behavior and deterministic processes, built from the outset to withstand regulatory checks and balances, with human oversight and drift monitoring reviewed on a cadence, never a whim.
The architecture is not bound to energy and real estate. It generalizes to any industry, any process. The only ingredient it requires is a domain expert who can describe how the work actually happens, in plain English, cross-referenced against the standard the industry already holds itself to. From there, we automate the process as it truly runs inside your business, not a generic template of it, typically unlocking a 10x gain in speed and value.
We do not replace your systems of record. Every agent reads and writes through the platforms your teams already trust, so nothing you have implemented, trained on, or audited gets ripped out to make room for us.
Not on the list. If it has an API, a database, or even just a browser interface, we can connect an agent to it. Legacy and unsupported systems get a browser-based connector; everything else gets a purpose-built one.
Speed and compliance are usually presented as opposites. In the Kingdom, we've found they are the same discipline, practiced well.
Every workload can live inside the Kingdom's borders, satisfying data-residency requirements without a single compromise on latency or capability.
NCA ECC-2:2024, SAMA, and CMA requirements shape the architecture from day one, never bolted on the week before an audit.
Agents tuned for Arabic and English, including the dialect of the workflow they sit inside, never a translated afterthought.
Delivery mapped to the cadence of national giga-projects and the KPIs that define Vision 2030.
Designing & deploying agentic AI systems for GCC energy clients
Amar's career spans three decades across three continents: a decade building technology foundations in India, a decade leading data and engineering organizations across the United States, and the last decade in Saudi Arabia, delivering data, software, and technology solutions for Fortune 100 companies. He now designs and implements agentic AI systems for GCC energy clients, building on a decade directing KAPSARC's Solutions Productization Program, where he built and scaled a data and AI product organization that shipped twelve predictive economic and energy simulators into national policy analysis, and launched the Middle East's first conversational AI, API-ready data portal for climate and energy insight.
Earlier, as Chief Information Officer at Act! (Infor CRM), he engineered a global SaaS lead-to-cash platform in 180 days and led the technology integration behind a series of acquisitions that helped grow the company's revenue tenfold. Before that, as Vice President of Technology at S&P Global / IHS Markit, he modernized the data infrastructure behind a $5B+ subscription analytics business, automated workflows that returned $20M in efficiency gains, and directed insight tools for the energy, aerospace, high-tech, and finance sectors.
Across three decades, that work has been trusted by Fortune 100 companies, national governments, defense and aerospace institutions, the Ministry of Energy in Saudi Arabia, and some of the world's leading think tanks, the same caliber of institution Ammar Agentic Labs is built to serve.
Decades across India, the United States & Saudi Arabia
Predictive economic & energy simulators shipped into national policy analysis
Subscription analytics business modernized
Revenue growth delivered through SaaS build-out & M&A integration
Continents of engineering leadership: EMEA, APAC, the Americas & MENA
We listen before we design. Workflow mapping, a risk register, and an architecture your compliance team can sign without hesitation.
One workflow, one team, full instrumentation. We measure the agent the way we'll later be asked to defend it.
Hardened, monitored, and handed to your operators, with the runbooks and audit trail your regulator expects to see.
Expansion into adjacent workflows, continuous drift monitoring, and a quarterly review against regulation that does not stand still.
Thirty minutes to walk through your workflow, your constraints, and where an agent earns its place.