Tier 04 — Enterprise

Enter­prise.

A fully hardened, high-availability LLM platform with a branded chat interface, LDAP/Active Directory integration, zero-trust architecture, and full-lifecycle delivery from a dedicated project manager. Enterprise is the ceiling of what a private AI deployment can be — unlimited models, advanced RAG, eight custom agents, full compliance readiness, and 30 days of dedicated post-launch support.

$75,000+
One-time setup fee
DeploymentHA multi-server
Models DeployedUnlimited
User AccountsUnlimited
MCP IntegrationsUp to 10
Custom AgentsUp to 8
RAG PipelineAdvanced + Hybrid
SSO + LDAP / ADIncluded
Branded Chat UIIncluded
Post-Deploy Support30-day hypercare
Deployment Time~14 weeks

The complete private AI platform,
fully hardened.

Enterprise is purpose-built for large organizations, compliance-sensitive industries, and teams that require high availability, enterprise identity management, and a bespoke end-user experience. Includes a dedicated project manager for the full engagement duration.

01
Multi-Server High-Availability Deployment
A multi-server HA architecture with load balancing and automatic failover. No single point of failure. Inference traffic is distributed across nodes; if one goes offline, requests route automatically. Engineered for the uptime guarantees your organization requires.
Unlimited Model Deployments with Benchmarking
Deploy as many models as your infrastructure supports, with no cap. Includes a structured model benchmarking and selection consultation — a scored evaluation of candidate models against your specific use cases, with a written recommendation report before any model goes into production.
LDAP / Active Directory Integration
Full LDAP and Active Directory integration for centralized identity management. User accounts, group memberships, and access permissions are pulled directly from your directory — no duplicate provisioning, no drift between your directory and the LLM platform, and automatic de-provisioning when staff leave.
Zero-Trust Architecture Review & Hardening
A full zero-trust security review of your LLM deployment — covering API endpoint exposure, authentication chain, network segmentation, inter-service trust, and secrets management. Followed by a hardening pass that implements the findings. Your deployment meets the security standard your IT and legal teams require before anything touches production data.
Full Compliance Readiness Review
Comprehensive readiness assessment for SOC 2, HIPAA, GDPR, or CCPA alignment as applicable to your industry and geography. Includes a written findings report, a gap remediation plan, and configuration changes to bring your deployment into alignment. Provides documented evidence suitable for regulatory review or client due diligence.
Comprehensive Audit Logging & Data Residency Controls
Full audit logging of every request — who, what, when, and with what input. Data residency controls ensure data stays in your specified geographic boundary. Access reporting dashboards give your compliance team the evidence they need without requiring engineering support to produce it.
Advanced RAG Pipeline with Hybrid Search
An enterprise-grade RAG implementation with hybrid search combining dense vector search and sparse keyword retrieval — delivering more accurate results across mixed document types. Includes document pipeline automation, custom chunking strategy, and embedding model selection tuned to your corpus. Your models answer questions grounded in your internal knowledge, with citations, at scale.
MCP Server Integrations
Up to ten MCP server integrations connecting your models to the full breadth of tools and enterprise data sources your organization uses — ERP systems, CRM platforms, file systems, collaboration tools, databases, and external APIs. Each integration scoped, built, and tested against your environment.
Custom AI Agents with Full Workflow Orchestration
Up to eight custom AI agents, each purpose-built for a specific business function, with full workflow orchestration — shared memory, multi-agent handoffs, conditional branching, and error handling. Enables complex, autonomous end-to-end business processes that span multiple systems and decision points without human intervention at each step.
Branded Web-Based Chat UI
A custom-branded chat interface on your own domain — your logo, your color scheme, your product name. Includes authentication, conversation history, source citation display, admin controls, and a feedback mechanism. Your team sees a polished internal product, not an open-source tool with raw API access.
PII Redaction & Data Masking Pipeline
Automated preprocessing that strips or masks personally identifiable information before any document reaches the model context. Configured to your specific data types and regulatory requirements. Applied at the pipeline level — not dependent on user behavior.
Full Prompt Engineering Library
25+ production-tested system prompts across all major business functions — legal, finance, HR, operations, research, customer service, and more. Delivered as a living document with one included quarterly refresh. Gives every team a practical, proven starting point without investing in prompt engineering expertise.
Full AI Governance Policy Package
A complete governance package: acceptable-use policy, data classification framework for LLM inputs, AI incident response procedure, and employee acknowledgment forms. Drafted with your legal and compliance team. Covers what regulators, auditors, and enterprise clients increasingly require before approving AI-enabled workflows.
LLM Evaluation & Regression Testing Framework
An automated eval suite with scored prompt batteries across your specific use cases. Catches quality regressions after model updates or configuration changes before they reach users. Gives your team confidence that every change to the platform is validated against a defined quality standard.
Change Management & Adoption Kickoff
An internal champion identification workshop, use case prioritization session, and a 60-day employee adoption playbook. Addresses the most common failure mode in enterprise AI deployments: a technically successful system that staff don't actually use. Includes a structured 60-day feedback loop to track adoption and resolve friction points.
Full-Day Staff Training
A full-day training session with unlimited participants, delivered on-site or virtually. Custom curriculum covering system use, model capabilities, agent workflows, governance guidelines, and best practices. Ensures every team that will use the platform understands how to use it effectively from day one.
30-Day Hypercare & Dedicated Project Manager
Thirty days of dedicated post-deployment monitoring, performance tuning, and priority support after go-live. A dedicated project manager oversees the full engagement from kickoff through hypercare — your single point of contact for scheduling, decisions, and escalations throughout the entire deployment.
Executive Summary & Architecture Documentation
A boardroom-ready executive summary report covering deployment scope, security posture, compliance status, and operational readiness — alongside a complete architecture documentation package for your IT and engineering teams. Everything leadership and operations need, in the format each audience expects.

Who Enterprise
is built for.

02
01
Large Organizations

Enterprises with hundreds or thousands of users that need a high-availability platform, LDAP-integrated provisioning, and a polished branded interface — not an infrastructure project their teams have to manage.

02
Compliance-Critical Industries

Legal firms, healthcare systems, and financial institutions where a compliance readiness review, zero-trust hardening, data residency controls, and a full governance policy package are prerequisites — not optional enhancements.

03
Active Directory Environments

Organizations whose entire user lifecycle — onboarding, role changes, offboarding — runs through Active Directory or LDAP, and who need their AI platform to reflect that directory automatically without manual synchronization.

04
High-Availability Requirements

Teams for whom LLM downtime has measurable operational impact — legal teams on deadline, clinical staff with patient workflows, or financial teams in time-sensitive processes — who need load-balanced infrastructure with automatic failover.

05
Complex Automation at Scale

Organizations that need not just individual AI agents but coordinated multi-agent orchestration — where one agent's output triggers the next across multiple systems, data sources, and decision points, with full auditability throughout.

06
Branded Internal AI Products

Organizations that want to deliver private AI to their staff as a named internal product — with a custom domain, their branding, conversation history, and source citations — rather than routing everyone through a raw API or a third-party interface.

Fully operational in
fourteen weeks.

03
01 Weeks 1–3
Discovery & Architecture Planning

Full requirements discovery with dedicated PM. Compliance scope defined. Zero-trust architecture designed. LDAP/AD integration mapped. HA topology specified. RAG document inventory and chunking strategy drafted. Model benchmarking initiated. All integration dependencies documented before build begins.

02 Weeks 4–7
Infrastructure & Security Build

Multi-server HA deployment built and load-balanced. LDAP/AD integration completed. Zero-trust hardening applied. Compliance readiness review conducted. Audit logging, data residency controls, and access reporting configured. PII redaction pipeline live. Eval framework established with initial test batteries.

03 Weeks 8–12
RAG, Agents, UI & Integrations

Advanced RAG pipeline with hybrid search built and optimized. All MCP integrations connected. Up to eight custom agents built and orchestrated. Branded chat UI deployed on your domain. All ten MCP integrations live. Governance policy package drafted with legal team. Prompt library delivered. Adoption playbook prepared.

04 Weeks 13–14 + 30-Day Hypercare
Training, Go-Live & Hypercare

Full-day staff training delivered. Adoption kickoff session run. Executive summary and architecture documentation delivered. System confirmed live. Thirty days of dedicated monitoring, performance tuning, and priority support begins. PM remains engaged through hypercare close.

How Enterprise
compares.

04
Capability Tier 1 — Foundations Tier 2 — Professional Tier 3 — Business Tier 4 — Enterprise
Setup Fee$8,000$18,000$38,000$75,000+
Deployment OptionLocal onlyLocal or CloudLocal + HybridHA Multi-Server
Models Included1Up to 3Up to 5Unlimited
User AccountsUp to 5Up to 20UnlimitedUnlimited
MCP Integrations1Up to 3Up to 5Up to 10
Custom Agents1Up to 3Up to 8
RAG PipelineIncludedAdvanced + Hybrid
SSO / LDAPSSO / SAMLSSO + LDAP / AD
RBAC & Audit LoggingBasicFull RBAC + LogsFull + Compliance
Staff TrainingAdmin walkthroughHalf-day (10 people)Full-day (unlimited)
Post-Deploy Support2 hours4 hours8 hours30-day hypercare

Post-deployment investments
for Enterprise clients.

Enterprise clients have the most complete baseline of any tier. Post-deployment, the highest-value ongoing investments focus on keeping the platform current, expanding its intelligence, and sustaining operational excellence over time. Multi-add-on bundles of 3 or more qualify for a 10% discount.

Annual Architecture Review
For an Enterprise client, this should be a standard line item in the annual IT budget. The open-source LLM landscape moves fast enough that a deployment without a yearly review quickly falls behind — in model quality, tooling, security posture, and efficiency. Includes a structured deep-dive, a written findings report, and a prioritized recommendations roadmap. The cost of running an outdated model stack at Enterprise scale far exceeds the review fee.
$4,500per year
Custom Model Fine-Tuning
Once your base deployment is stable and you have six or more months of usage data, fine-tuning on your organization's language, documents, and domain knowledge is the highest-leverage quality improvement available. Covers dataset preparation, supervised fine-tuning (SFT), and evaluation against your base model. The result is a model that speaks your organization's language with the accuracy of a domain expert.
$10,000 – $22,000+one-time
Additional RAG Data Source Pipelines
Enterprise clients almost always identify new document repositories, internal databases, or business tools to connect after the initial deployment. Budget for additional pipelines annually — each adds a new document collection or data source to your RAG system with its own ingestion pipeline, chunking strategy, and embeddings. Keeps your knowledge base current as your organization's data landscape evolves.
$3,500 – $6,000per pipeline
Support Premium Retainer
At Enterprise deployment scale, the dedicated Slack or Teams channel and quarterly strategy review are particularly valuable given the complexity of what's running. Includes a 4-business-hour response SLA, unlimited minor configuration changes, continuous model and software updates, a dedicated channel, and a quarterly strategy session with Creeksea advisory staff to align your deployment roadmap with new open-source developments.
$4,500per month
What's not
in the fee.

The $75,000+ setup fee covers professional services only — labor, architecture, security hardening, compliance review, RAG pipeline build, agent development, branded UI, documentation, training, and 30-day hypercare. It does not include hardware procurement costs for on-premises or HA deployments, cloud GPU or compute instance fees, third-party software licensing, or travel and accommodation for on-site visits (billed at cost).

For multi-server HA deployments, hardware specifications are documented during the discovery and architecture phase. Creeksea can advise on procurement, source hardware at cost, or work with your existing vendor relationships. For cloud-hosted HA configurations, we design around your preferred providers. See our Hardware page for detailed configuration guidance.

All prices are starting rates in USD. Final pricing is determined after a scoping session and provided via a formal Statement of Work. Rates quoted in a signed SOW are locked for the duration of the engagement.

Ready to Begin?

Build the private AI platform
your organization deserves.

All engagements begin with a complimentary 30-minute discovery call — no pressure, no commitment. For Enterprise engagements, we recommend a 60-minute scoping session to cover architecture, compliance scope, and integration requirements in full.

Schedule a Call → View Add-Ons & Custom