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Enterprise Practice
Enterprise AI.
On infrastructure you own.
For mid-market and enterprise organizations who need AI that respects sovereignty, governance, and the operational reality that your data cannot leave the perimeter — anchored by AI Readiness 360, AI Transformation Management, and AEGIS.
Who this is for
We work with the leaders accountable for AI strategy, deployment, and operational outcomes inside organizations that cannot afford to outsource their data perimeter.
Mid-Market — 100 to 1,000 employees
Companies between $10M and $250M in revenue navigating an AI strategy that has to land across multiple departments, sites, and compliance regimes. You don't have the runway to gamble on cloud subscriptions that scale with your headcount.
Enterprise — 1,000+ employees
Multi-site, multi-national organizations where AI adoption is a board-level conversation. You need a deployment posture that respects sovereignty, data residency, and the operational reality that AI cannot be a third-party hostage.
Regulated industries
Financial services, healthcare systems, legal, and critical infrastructure. The frontier-AI conversation has to happen inside an audit trail. We deploy AI where your auditors can see it, your compliance officer can certify it, and your CISO can sleep.
Multi-site & multi-jurisdiction
Operations that span U.S. states, Latin America, Europe, or Africa. You need a deployment model that respects each jurisdiction's data laws without splintering your platform into seven incompatible silos.
If your organization needs AI that you can audit, measure, and defend — this is for you.
The problem with cloud-default AI at scale
The cloud-AI tax compounds at scale
Per-seat ChatGPT, Copilot, and Claude subscriptions look reasonable for 50 people. At 500, you're paying $300K+ a year for AI you don't own. At 5,000, the math breaks. We end the metered bleed.
Your data is training someone else's model
Every prompt routed through a third-party cloud is a piece of intellectual property you're handing to a vendor. For mid-market and enterprise, that's M&A leakage, competitive intelligence loss, and a compliance posture you cannot defend in a deposition.
Vendor lock-in is a board-level risk
When your AI stack is one vendor's API, you have no leverage on pricing, no portability across regions, and no continuity plan if that vendor changes its terms. Sovereign infrastructure is risk management — not nostalgia.
Sovereign AI is not nostalgia for on-premise — it's a strategic posture for organizations that take their data seriously.
Our approach
Three principles that hold across every enterprise deployment.
1
Sovereign by design
AI deployed on hardware you own, in environments you control. Your models, your weights, your audit logs. Vendor-neutral by architecture.
2
Model-agnostic
Llama, Mistral, Claude, GPT — we deploy what fits your governance posture and your workload, not what our vendor partnership demands. Swap models without re-platforming.
3
Built to be measured
Every deployment ships with a TCO model, a measurable adoption plan, and a 90-day operational readiness review. AI that you can defend in a board meeting, not just demo at a conference.
Three established offerings. One sovereign posture.
The same canonical service catalog that anchors our government practice — applied to corporate audiences.
DIAGNOSE
AI Readiness 360
A 14-day distributed assessment that ships three execution-ready artifacts at day 15: your AI readiness scorecard, a prioritized capability roadmap, and the TCO model your CFO needs to approve the deployment. Built for boards that have heard the AI pitch a hundred times and need an honest read.
Run a readiness assessment →EXECUTE
AI Transformation Management
Program management for AI rollouts at the department, business-unit, or enterprise scale. We run the deployment alongside your team — vendor selection, change management, governance setup, and the 90-day post-launch operational review. Outcomes you can audit, not slides you can frame.
See the transformation playbook →GOVERN
AEGIS
Enterprise AI governance platform. Policy engine, audit logging, model registry, and access controls. AEGIS sits across your AI estate — sovereign and SaaS — and gives your CISO, your General Counsel, and your auditors a single pane of glass. Required for regulated industries; recommended for everyone else.
See AEGIS in action →Enterprise tier — what's included
For organizations deploying at scale, the engagement model is structured around dedicated capacity, executive accountability, and SLA-backed operations.
- ✓Dedicated solution architect from kickoff through stabilization — one named person, not a rotating bench.
- ✓Quarterly executive business reviews with measurable adoption metrics, cost-savings tracking, and roadmap updates.
- ✓24/7 monitoring of sovereign deployments with SLA-backed response on critical systems.
- ✓Multi-site deployment orchestration across U.S. and international jurisdictions, with per-site data residency.
- ✓Direct integration support for SAP, Oracle, Salesforce, ServiceNow, Workday, and the ERP/CRM stack your operations actually run on.
- ✓Annual third-party security review and compliance attestation included in the retainer.
Enterprise engagements start at $400K annually. Mid-market engagements scoped from $45K. Hardware-included pricing available.
Request enterprise engagementCapability areas
The work clusters where sovereign AI delivers measurable outcomes inside enterprise environments.
Knowledge & decision support
Internal AI assistants trained on your private corpus — contracts, policies, technical specs, board minutes. Searchable, citable, and never leaves your perimeter.
Common in: Legal, M&A, Strategy
Operational automation
AI-assisted workflows for finance close, IT ticket triage, HR onboarding, procurement, and supply-chain operations. Replaces the SaaS-and-spreadsheets duct tape.
Common in: Operations, Finance, IT
Customer & revenue intelligence
Private-corpus revenue intelligence — your CRM, contracts, and sales conversations analyzed locally. No SaaS vendor monetizing your pipeline.
Common in: Sales, Customer Success
Regulatory & compliance
AI deployed inside your audit boundary. Policy-aware drafting, contract review, regulatory horizon-scanning, and audit-trail generation.
Common in: Legal, Risk, Compliance
Engineering & product
Sovereign code assistants for proprietary codebases. Engineering productivity without leaking your source to a third-party trainer.
Common in: Engineering, Product, R&D
The impact
What measurable looks like, inside an enterprise sovereign-AI program.
- ✓40–70% reduction in third-party AI subscription spend within 12 months of sovereign deployment.
- ✓Measurable adoption — 60%+ active weekly users across deployed business units within 90 days, vs. industry average of 12%.
- ✓Zero data leakage events across deployed environments — verifiable via audit logs your CISO controls.
- ✓Compliance attestation accelerated by 6–9 months on average vs. equivalent cloud-AI postures.
- ✓Vendor portability preserved — model swaps in days, not quarters. No re-platforming on AI provider changes.
- ✓Executive visibility — a TCO and adoption dashboard your CFO and board can read in five minutes.
Reference engagement patterns
Anonymized patterns from enterprise engagements. Specifics available under NDA.
Multi-national professional services firm
AI Readiness 360 across four practice areas, followed by an AEGIS deployment governing both their sovereign stack and their existing SaaS AI. Outcome: consolidated governance, $400K+ annual SaaS-AI cost recovery, and an audit-ready policy posture across three jurisdictions.
Mid-market healthcare network
AI Transformation Management for clinical documentation and revenue-cycle automation. HIPAA-compliant by deployment posture — PHI never left the network. Outcome: 30% reduction in documentation time per encounter and a clean third-party security audit.
Regional bank holding company
AEGIS-led governance program covering generative-AI policy, model registry, and vendor risk management across six subsidiaries. Outcome: a unified AI policy framework approved by the board's risk committee in 90 days, vs. a 12-month internal estimate.
Why enterprises choose TechFides
Six reasons our enterprise clients keep us on retainer.
01
We do the work; we don't just write the slides
Our consultants stay on-site through deployment and the 90-day stabilization. You don't get handed off to an offshore implementation team.
02
Hardware-included pricing model
We can install the hardware, configure the stack, and bill it as a monthly subscription. No capex shock. No three-year amortization conversation.
03
Multi-model, vendor-neutral by default
We deploy Llama, Mistral, Claude, GPT, or whatever fits the workload. No vendor partnership pressure — we recommend what your governance posture demands.
04
Sovereign + SaaS coexistence
AEGIS governs both. We don't ask you to rip out your Microsoft Copilot rollout to deploy sovereign AI — we put both under one policy engine.
05
Audit-ready by design
Every deployment ships with audit logging, access controls, and a documentation package your compliance team can hand to a third-party assessor.
06
Global delivery, U.S. accountability
TechFides is headquartered in Frisco, TX. Our delivery footprint covers the U.S., Mexico, Caribbean, West and Central Africa, and select European markets. One contract, one accountable party, multiple jurisdictions.
Ready for AI that you actually own?
Start with a 30-minute briefing — we'll walk through where sovereign AI fits in your environment, what the TCO looks like, and whether an AI Readiness 360 makes sense as a first step.
Headquartered in Frisco, TX. Delivery across the U.S., Mexico, Caribbean, West and Central Africa, and select European markets.