The Office of the CEO  ·  powered by thinqOS

We build AI for the whole bank. Starting with the seat that runs it.

Every function in the bank has its own software. Nobody builds for the CEO. We do: a digital office around the chief executive, staffed by agents, running on a brain you own. Then the same foundation powers agentic departments across the bank, credit first, governed and examiner-ready from day one.

You keep the decision seat Examiner-ready evidence PII filter, in and out Built SOC 2-first

Where you start · how you grow

Start at the seat that runs the bank. Scale to the whole institution.

Not one executive with a chatbot. An office: a brain you own plus a staff of agents, stood up for a seat that matters. Begin at the top, extend across the C-suite, and graduate the whole institution when you are ready.

01

Professional Pro One executive, fully staffed. Your brain plus the agents that run your week. The solo on-ramp.

On-ramp
02

The Office of the CEO The seat that runs it: your brain, a digital chief of staff, a chief technology advisor. Where the engagement begins.

Start here
03

The C-Suite Every executive office: CFO, COO, chief risk, chief lending. Each with a brain and a staff, all on shared, governed context.

Expand
04

The Full Institution The whole bank on ContextCore: governed, examiner-ready, one auditable foundation. The graduation, when you are ready.

On the horizon

Foundation first

Pause the enterprise AI shopping. Build the brain the purchases need.

Every vendor pitching you right now is selling an outcome that depends on context they do not have: your objectives, your strategy, your data, your way of deciding. Buy the outcome before the foundation and you pay enterprise prices to teach someone else’s software who you are. Then you pay it again for the next vendor, and the next. Build the foundation first and the order reverses.

A brain you own

Your policies, board reports, strategy and history, structured as how your institution actually works. Built once. Every future outcome, bought or built, draws from it.

Evaluation gets cheap

Vendors compete on merit instead of on your ignorance of your own data. Every pitch gets measured against a foundation you already hold.

Deployment gets fast

The first working version of your executive world model deploys in under an hour, from documents you already have. It compounds with every working session.

The Office of the CEO

Not a dashboard with your name on it. A small staff of agents with one mandate: total situational awareness.

Your role is where every decision that matters lands. It deserves an office built for it: not a tool, an office. Staffed by agents, running on your own context, working the way you work. Three builds.

A

Your Brain

The executive world model: a working digital twin of your expertise and judgment. Your objectives, your strategy, your history, the way you actually decide, held in a separate, access-controlled perimeter apart from the operational data. You are reasoning with it the same day it is built.

B

The Digital Chief of Staff

The most powerful seat in any organization is access plus schedule. Yours zooms out across the whole institution, zooms in on what moved, raises its own questions, and briefs you in tight, decision-ready documents. Not a feed to scroll. A brief to act on. You read one page; it read everything else.

C

The Chief Technology Advisor

Every AI pitch that reaches your desk gets evaluated against your objectives, your stack, your budget, and the foundation you now own. What does it cost, what does it threaten, what does it duplicate, and what would we build instead? The agent that ends “what should we buy?” as a guessing game.

Zoom out, zoom in, decide. The office does the reading. You do the deciding.

The proof outcome

The Agentic Credit Department.

The same foundation, pointed at the workflow where community institutions bleed the most hours. Assembly, not judgment, is the bottleneck: officers doing analyst work because the bank never hired the analyst. We stand one up, agentically. The committee does not shrink. The department grows.

Complete borrower context

Financials, prior relationships, covenant status and history. Ready in seconds, not hours of PFS and tax-return pulls.

Policy-aware by default

Every memo pre-checked against your loan policy, risk appetite, pricing guidelines and concentration limits.

Portfolio intelligence

Each loan compared to your book and its performance. Concentration, correlation and early warnings surfaced before committee, not at the exam.

Judgment preserved

Your officer keeps the decision seat. Relationship knowledge, risk instincts and the final call stay with your team.

The credit department proves the platform on one workflow. The Office of the CEO points the same platform at the whole institution. Same foundation, built once. Adding outcomes does not typically increase the cost of the foundation.

ContextCore · the platform underneath

A read layer on your core, not a replacement.

Whatever core and digital stack you run stays exactly where it is. ContextCore sits on top as the governance and transparency layer, built for the questions your examiners will ask. AI managing AI: the platform watches the models so your people can watch the business. Model-agnostic by design: own the context, rent the engine.

Cost control

Usage understood and contained per outcome, per model, per user. You see what every answer costs.

Data visibility

Every query, document pull and inference logged and auditable, event by event.

Model management

Versioned and rollbackable. Freeze during exams. Dynamic routing sends each query to the right model at the right cost tier.

No vendor lock-in

Any model can be swapped as the field moves. Access control is role-based and granular: you decide what the AI can see, seat by seat.

Built-in PII filter

Private data does not leak. In or out.

Redaction runs locally, inside your walls, and strips PII before data reaches any frontier model and again in the output your people see. Both directions, every connection, with a full record of what was caught.

In →  Incoming data is read and PII is redacted before the model sees it
Across →  Every connection is interrogated, agent-to-agent and agent-to-person
Out →  Outgoing responses are scrubbed before they ever leave

The governed bridge

Offices think. The institution knows.

Every office reaches organizational intelligence through one designated, governed gateway, never a free-for-all. One door, full audit trail: the line your examiners can trace.

thinqOS

Your offices

Executive seats and their agents, each with its own mind, memory and judgment.

Office of the CEOCFOCOOChief RiskChief Lending
One governed door
One designated agent reaches ContextCore directly. KYA watches every action.
ContextCore

The institution

Shared organizational intelligence, on the core you already run.

KnowledgeDataGovernanceSystemsProof

The engagement

Try before you commit. Validate on your own standards.

A phased investment, measured in outcomes instead of licenses. Phase 1 is a fixed-fee, 90-day Minimum Viable Outcome: we host, you validate against your own criteria on real work. Phase 2 moves the system onto your infrastructure. Stop after Phase 1 and your data comes back with written destruction evidence.

Phase 1 · The 90-day MVO

From data room to first outcome in production in 90 days, hosted by LLM Squared.

  • Fixed fee, milestone-based. No surprises.
  • Your foundation built from documents you already have.
  • Validated against your standards, on your real files, before any long-term commitment.
Phase 2 · Your infrastructure

The system migrates to a cloud environment in your name, or on-premise for the strictest data-residency posture.

  • Your keys, your data, your infrastructure. 12-month term, no lock-in beyond it.
  • Our hosted copy destroyed at transition, with written attestation.
  • Adding future outcomes on the same foundation does not typically increase the monthly fee.

How it works

From scattered context to a decision you can defend.

Four layers that compound, on top of the systems you already use. Each layer extends the value of the last, and the foundation is built once.

1

ContextCore

Your board reports, policies, procedures and core data, ingested and structured as how your institution actually works. The brain, built once.

2

thinqOS

The office layer. A mind and a staff of agents for every seat that matters, each reasoning on the foundation and briefing its executive.

3

Outcomes

The Office of the CEO, the Agentic Credit Department, and whatever comes next, all drawing from the same foundation.

4

Proof

Every AI-influenced output traceable to its source documents. The audit trail your board and your examiners can act on.

On the horizon

An agent worth having should not have to stay inside one office. Agents your team builds on thinqOS will be shareable across your institution, and in time, on your terms, beyond it.

Security & trust

Built to pass your diligence, not just talk about it.

Security review is the first real gate. The platform is built SOC 2-first so your vendor-risk team can clear us quickly, and the full due diligence package is ready on request: security, data destruction, insurance, subservice providers, references.

Humans decide

The system drafts; your people decide. Human-in-the-loop by design, with accountability documented at every step.

Encrypted and audited

AES-256 at rest, TLS 1.2/1.3 in transit, role-based access control and event-level audit logging from day one.

You own your data

All data provided, all derived content, all generated outputs. No third-party model training on your information.

Reversible

If we do not continue, all data is deleted and returned with a written destruction-evidence attestation: scope, method, verification, timestamp, signatory.

Get started

“What can you do for me?” Fair question. Ask it.

Sixty minutes, you and us. We map the one decision or workflow that costs you the most, and show you what the first 90 days would produce. It starts with you, not your org chart.

Prefer email? info@llmsquared.com