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GΞIST The GEIST Way · 2026

Systemic AI deployment for Enterprise.

Works with your existing systems

12 weeks to production

ROI guarantee

One platform · six pillars

Discover

Find what to do

Plan

Agree the plan

Build

Build the system

Operate

Run it for you

Govern

Stay compliant

Work

One pane of glass

How GEIST helps you deploy AI across your enterprise — safely, at speed, end to end. The product, the playbooks and the team that ships it with you.

01/The business problem

Where do executives even start?

Six vendors, a frontier release every working day, and an elevenfold rise in monthly launches since the start of 2024. The “wait and see” window has closed — and there is no map.

×11

Releases / month vs start of 2024

54

Releases · last 30 days

6

Vendors · frontier tier

01

Chase

Rebuild every quarter, chasing each release. Burn the team out trying to keep up.

02

Wait

Let the dust settle. Fall further behind the firms already compounding their lead.

03

Absorb

Build a system that absorbs the firehose. One harness, many releases.

You can't out-run the firehose. You build a system that absorbs it.

02/The deployment iceberg

Agents are easy. The system is hard.

90%

Of the work is below the waterline

Deploying an agent is days of work. Identity, security, data, observability, policy, and change management are months. The deepest layer — cross-department process — is where AI programmes that ignore it quietly stall. Most do.

Visible — what executives see

Deploy an agent

days · weeks at most

10%

Above the line

Hidden — what GEIST owns

01Identity · access · SSO
02Security · encryption · key management
03Data · integration · quality · residency
04Observability · logging · cost control
05Policy · compliance · audit · retention
06Change management · training · adoption
07Cross-department process

Deploy across departments — not into them.

03/One platform · the whole AI lifecycle

Six pillars. One platform, managed for you.

Most AI tools stop at the demo. GEIST is the system around the AI — six things every enterprise needs to get AI working day-to-day, in one platform, live today.

01DiscoverFind what to doForward-deployed engineers identify and prioritise use cases, capture your Business Harness — systems, policies, SOPs, tacit knowledge — and turn it all into build-ready requirements.
02PlanAgree the planAssess your AI maturity, then co-create your AI vision, strategy and roadmap — one tool orchestrating engineers, your team, partners and GEIST through the full deployment.
03BuildBuild the systemBuild agents in Microsoft Copilot Studio, Anthropic Claude or OpenAI — and deploy them on GEIST. Prototype fast, pilot, iterate. People and culture change taken as seriously as the tech.
04OperateWe run it for youWe deploy, host, secure and run it all — at the hosting and security level you choose. Your CIO sees a status dashboard and a single predictable bill.
05GovernStay compliant, provablyEvery regulation, every certification, every pound of AI spend — visible and provable. Built in, not bolted on.
06WorkOne pane of glassA single view across every AI tool, agent and licence in your business. We don’t ban what your people use — we harness it, govern it, and tie it back to ROI.

04/Deployment philosophy

Top-down. Bottom-up. Both — managed.

The top-down flow runs the programme — strategy through to production. The bottom-up flow educates and empowers every employee to own a use case and bank daily productivity. The discipline that makes it work: education, education, education.

Flow 01 — Top-down

The managed programme

Strategy → Programme → Use cases → Production. Executives assess, engineers blueprint, users deploy — the staged process, run end to end.

Owner · executives + GEIST

Flow 02 — Bottom-up

The educated workforce

Education → Capability → Responsibility → Daily wins. Every employee AI-literate, tool-fluent, and owning a use case. Not licences for the sake of licences.

Owner · every employee

Both flows

One pane of glass

Every use case — seen, tracked, managed in GEIST. Winning bottom-up use cases bubble up to the top-down programme for company-wide rollout.

GEIST · the deployment layer

05/The honest comparison

“Already using Claude or Microsoft Foundry?”

We do too. GEIST is the application layer that runs on top of them — not a competitor. Run inside your Azure tenant, with transparent per-tenant AI billing across every provider.

We run on them

Multi-model. Single bill.

Anthropic Opus 4.6. Azure OpenAI via Foundry. Vertex AI for HIPAA workloads. Gemini Flash for cheap classification. Local models for air-gapped. Our multi-provider AI gateway routes between them per tenant — and we meter every call so you get one transparent invoice instead of juggling provider bills.

vs Anthropic (Claude, Cowork, Code)

Here's what we add

The application layer.

AgentGEIST: AI Operating Model workstreams across 7 domains — strategy, governance, people, engineering, data, compliance, use cases — with 13,720 ROI opportunities, 2,017 APQC processes, 4,769 BOD benchmarks, live Gemini 3.1 voice, and 7 visual generators (reports, slides, swimlane, architecture diagrams). Plus 24 production connectors (Epic FHIR, PeopleXD, Workday, Salesforce, M365…), 5-level multitenancy, reversible PII tokenization, and vertical playbooks. Built once, scoped per tenant.

Why not just use Foundry?

Here's the math

~12 weeks vs 12–18 months.

Building this on Foundry: ~$1.2–2.0M, 12–18 months. On Cowork + custom plugins: ~$510K Year 1. Deploying GEIST on top of either: weeks, with playbooks that already encode the nuance, integrations, and compliance.

06/Solutions

Named after your problems, not our products.

Every GEIST deployment starts from a problem you already have — reviews that land too late, a compliance deadline, training that never moves a skill. Pick the problem; we bring the platform, the playbook and the team.

What we solve · in your words

case studies + showcases landing

HR

01HR & Performance Managementpowered by TalentGΞist · LiveAnnual reviews land too late to change anything, managers dread the paperwork, and the insight HR actually needs never makes it out of the forms.02Competency Managementpowered by TalentGΞist · LiveCompetency frameworks live in spreadsheets and go stale the week they ship. Nobody can say who can do what today, or what the gap is to where the business is going.03Pay Transparency & Reward Compliancepowered by PayGΞist · Active DevThe EU Pay Transparency Directive lands June 2026. Pay-gap reporting, salary banding and audit evidence are scattered across payroll exports and one analyst’s spreadsheet.04Workforce Learning & Developmentpowered by LearnGΞist · Q2 2026Generic course libraries with single-digit completion rates. Training spend that never visibly moves a skill the business needs.

Each solution → case study + video showcase · on the solutions page

Playbooks · how we move fast

proven programmes, not blank pages

01Assessmentswhere you stand on AI, data and process readiness
02Process maps3,500+ industry-standard processes, mapped for AI
03Knowledge librariesregulatory, industry and best-practice content, curated
04Agent skillsready-made capabilities your agents plug in on day one
05WorkflowsAI plus human review, sequenced and auditable
06Reference casesreal-world deployments grounding every recommendation

Outcome → months become days

07/Customer testimonials

Trusted by leading companies.

Healthcare customer

The results we have seen with GEIST are groundbreaking, double-digit gains in efficiency and resolution rates. Never have I seen a piece of technology so seamless to integrate.
VP of Operations

Financial services

If you're still debating whether to build your own AI solution or buy one, my advice would be to buy - and specifically buy GEIST.
Head of Digital Transformation

Compliance & security

GDPROperationalEU AI ActOperationalISO 27001In ProgressSOC 2PlannedHIPAAReadyCCPAOperational
Trust Center

08/Next step

Stop buying ingredients. Start buying outcomes.

Book a 30-minute AI assessment to see where AI can drive real ROI for your business.