The agentic managed-services company · Sentient.AI Agentic
The enterprise, run by AI. Governed by design.
What we sell is the work, finished — not another platform for your team to run. We design your Target Operating Model and Data Model, then Sentient.AI Agentic takes over the execution — the close closed, the controls tested, the exceptions queued for human judgment — and we stay until the function runs Lights-Out: exception-based, evidence-backed, priced on outcomes. The agents and the platform beneath them are our instruments; the running function is the product.
SENTIENT.AI AGENTIC · COMMAND CENTER · LIVE PRODUCT — WATCH THE DEMO →
Sentient.AI Agentic · Services are the new software
Don’t buy the tool. Buy the work.
For every dollar enterprises spend on software, six go to services and headcount doing the work. Copilots compete for the one. Sentient.AI Agentic is an autopilot — it prices against the six and delivers finished, evidenced outcomes.
Tools
You buy software. You still do the work.
Per-seat licenses, an implementation program, and a process your people still run end to end. Every model release commoditizes the tool you just bought.
Copilots · human-machine teaming
Your people go faster. The work stays yours.
Assistants draft and suggest; your team still owns every step, every deadline, every error. Teaming is a plateau — the operating model never changes.
Sentient.AI Agentic · The outcome
We operate the process. You receive the result.
The close, closed. Invoices, paid. Controls, tested against 100% of the population. Outcome-priced — per invoice, per reconciliation, per ticket — with the evidence attached.
Lights-Out, engineered · TOM + Data Model
Lights-Out isn’t a model upgrade. It’s an operating model, operationalized.
01 · TARGET OPERATING MODEL
Design the TOM
We design the Target Operating Model — processes, thresholds, controls — captured as a runnable specification, not a binder.
02 · DATA MODEL
Encode the Data Model
The Fabric layer encodes entities, chart of accounts, policies and control matrices — the semantic layer agents reason over.
03 · AGENTS ON THE RUNBOOK
Operationalize with agents
The Orchestrator runs the TOM as goal-driven agents wired into your systems of record — plan, decide, act, evidence.
04 · LIGHTS-OUT
Ratchet to Lights-Out
Exception-based operations, proven on the Evidence Ledger. The autonomy dial ratchets A0–A4 on evidence.
The four suites
Every function has a Lights-Out state. Ship it.
OFFICE OF THE CFO
Lights-Out Finance
Close · reconciliation · treasury · tax — the CFO office, run by agents
Meet the agents →RISK, COMPLIANCE & AUDIT
Lights-Out Assurance
Populations tested, not samples — assurance in the runtime
Meet the agents →OPERATIONS & SHARED SERVICES
Lights-Out Operations
Intake to master data to Day-1 separations
Meet the agents →REVENUE & REVOPS
Lights-Out Revenue
Order to renewal, with the compliance spine intact
Meet the agents →The product · not a mockup
This is what running Lights-Out looks like.
The Command Center: the full agent workforce live, every action streaming to the hash-chained Evidence Ledger with its autonomy level and control ID. Humans see the exceptions; auditors see everything.
SENTIENT.AI AGENTIC · COMMAND CENTER · SYNTHETIC DEMONSTRATION DATA
The engine room
One stack, five layers — the engine room behind the outcome.
Most enterprise AI fails between layers — a model with no governed data beneath it, an agent with no operations behind it, automation with no controls above it. Our stack ships as one, and it exists for one purpose: to make the outcome above it deliverable — data → intelligence → action → run → control.
The governed data and context AI runs on: pipelines, feature stores, and document/vector knowledge stores that make structured and unstructured enterprise content usable.
Nothing downstream is trustworthy without it.Turning that data into prediction and language: classical and predictive ML (forecasting, anomaly detection, fraud and risk scoring, optimization) through enterprise foundation and generative models (Cohere, OpenAI, Anthropic) for natural-language reporting, ESG analytics, and knowledge automation.
Better decisions and content, faster.Goal-driven agents that plan, decide, and act — chaining those models with enterprise tools and systems to run multi-step processes end to end under defined guardrails.
Moves the function from task automation to self-running, exception-based operations — the engine of Lights-Out.Embedding the stack into ERP, Treasury, and Finance and running it reliably in production: deployment, monitoring, evaluation, cost, and continuous "always-on" operation.
AI that ships and stays up, not a pilot that stalls.The control plane across every layer: transparency, explainability, security, regulatory compliance, and ethical use.
Speed without losing control — automation auditors and regulators accept.Diagnose where you stand
Readiness, layer by layer
We assess all five layers against the Lights-Out end state and locate the binding constraint — it is rarely the model.
Run a diagnostic →Build what moves the needle
Agentic, not just automated
RPA and copilots assist tasks. Agents run processes. We engineer the jump from assistance to autonomy under guardrails.
Read the thesis →Keep the auditors with you
Governed by design
Controls, explainability, and attestation built into the stack from day one — not retrofitted after the first audit finding.
See it in the CFO office →The opportunity
From manual effort to Lights-Out operations.
"Lights-Out" is the end state: functions that run themselves, route only exceptions to people, and keep running overnight, at quarter-end, and through Day-1 events. Every enterprise sits somewhere on this spectrum — the value is in moving right.
Stage 1
Manual
People execute, systems record. Cost scales with volume; quality depends on headcount and heroics.
Stage 2
Automated
Rules and RPA handle the repeatable middle. Brittle at the edges; exceptions still consume the team.
Stage 3
Teaming
Copilots predict, flag, and draft — human-machine teaming. People decide faster, but people still run the process. Most programs stall here.
Lights-Out
Autonomous
Agents run the process end to end under guardrails. People own judgment, exceptions, and the controls.
What we take over
Name the process. We hand back the outcome.
Four functions, each delivered to its Lights-Out state. Not advice on the work, not tools for the work — the work, operated for you, with your people on judgment and governance.
Lights-Out Finance
The close runs itself.
Close, consolidation, reporting, treasury, and planning run by agents — with SOX-aligned controls and audit-ready explainability.
Office of the CFO →Lights-Out Assurance
Controls test themselves.
Continuous controls monitoring, intelligent surveillance, and regulatory reporting that drafts and attests itself.
Risk & Compliance →Lights-Out Operations
Queues clear themselves.
Order-to-cash, procure-to-pay, and service operations moved from ticket queues to exception-based autonomy.
Shared Services →Lights-Out Revenue
Cash collects itself.
Pricing, billing, collections, and revenue assurance run continuously — intelligence applied where margin leaks.
Revenue & RevOps →How we engage
We operate the process. You keep the judgment.
Four phases, hard decision gates, named deliverables — the Lights-Out Method in full →
01
Diagnose
Readiness across all five layers, the value map, and the process we would take over first. Weeks, not quarters.
02
Design
The Target Operating Model and Data Model, captured as a runnable specification — with the control framework auditors will accept.
03
Take over
Agents go on the runbook and we operate the process in production — outcome-priced, with evidence streaming from the first transaction.
04
Ratchet
Autonomy climbs A0–A4 on evidence. At Lights-Out, you choose: we keep operating it — or transfer the capability to your team. Built to leave, never locked in.
75%
lower cost per invoice from AP automation
90%+
touchless reconciliation across 37 countries
$9B
TMT divestiture — Day-1 finance ran without interruption
0
business interruption across carve-outs and spin-offs
- TMT · $9BDay-1 finance model for a $9B divestiture — statutory, management, and treasury reporting live from hour one.
- Pharma · $2BFinance separation for a $2B medical-device spin-off, standing up an autonomous-ready function.
- FSI · $2.1BAsset-management carve-out — full finance stack separated and operating independently.
- Retail · $100M+SAP S/4HANA finance transformation as the system spine for touchless operations.
- Global · 37 countriesReconciliation automation at global scale — 90%+ touchless, exceptions routed to people.
Sectors
Regulated, complex, global — where governance is the product.
Start the conversation
A one-hour briefing. Your function, mapped to its Lights-Out state.
We come with a point of view on which of your processes we would take over first, what that returns, and where autonomy does not pay. No deck of generalities.
hello@sentient-ai.tech
+971 50 301 2489 · +1 347 682 6707
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