Category
Private AI Deployment in 90 Days: What Arkeo Builds and What You Own at the End
Most business owners who look into private AI deployment eventually run into the same two problems: the vendors who can actually build it are opaque about what the process looks like, and the content about it reads like it was written for a CTO with a six-person engineering team, not an operator who needs a working system and a straight answer.
This article is a straight answer. It describes what Arkeo actually builds, what the deployment process looks like across the three tiers, what you own when it is finished, and what the ongoing managed operations include. No vague promises about transformation. Just what happens.
Quick Answer
- What Arkeo builds: Private AI systems on your infrastructure — a language model, workflow agents, and integrations with your existing tools, configured for your specific business.
- How long it takes: Core is live in under one week. Connected takes 30–45 days. Orchestrated takes 60–90 days.
- What you own: The system runs on your infrastructure. You own the configuration, the trained model, and the outputs. Arkeo manages ongoing operations on a monthly retainer.
- What the retainer covers: Monitoring, updates, performance tuning, and team upskilling as your use of the system expands.
What Arkeo Actually Builds
Private AI for a mid-market business is not a single product. It is a configured system with several components working together:
The language model. An open-source model (Llama, Mistral, or similar) selected based on the use case and performance requirements. This is the engine that reads and generates text. It runs on your infrastructure.
Your business data layer. The model is configured to work with your specific documents: SOPs, contracts, historical reports, CRM records, compliance frameworks, whatever is relevant to the workflows being automated. This is what makes the system useful for your business rather than generic.
Workflow agents. Configured AI agents that perform specific tasks: drafting follow-up emails from CRM data, summarising meeting notes, preparing compliance documentation, generating weekly KPI reports, qualifying inbound leads. Each agent has a defined scope, a defined output format, and a defined approval point.
Integrations. For Connected and Orchestrated tiers, the agents connect to your existing tools. CRM, email, calendar, accounting software, project management systems. The AI reads from and writes to your existing systems rather than creating a new silo.
Governance layer. For Orchestrated deployments, this includes role-based access control, audit logging, approval workflows, and an orchestrator agent that coordinates tasks across the specialist agents. This is what allows the system to run at scale without creating new oversight problems.
The Three Deployment Tiers
Arkeo has three tiers. The right starting point depends on the complexity of your workflows, how many systems need to be integrated, and how many people will use the system.
Core: Private AI Assistant, Live in Under a Week
Core deploys a private AI assistant trained on your company documents and running on your own infrastructure. It is accessed through a browser-based chat interface. Your team asks questions, requests drafts, and gets outputs. The model knows your SOPs, your processes, your terminology, and your standards.
What is included:
- Infrastructure setup on your environment (on-premise hardware or a controlled cloud instance such as Azure private or AWS VPC)
- Model selection and configuration
- Training on your existing documents (SOPs, policies, contracts, historical reports)
- Browser-based interface for your team
- Ongoing managed operations (monitoring, updates, performance tuning)
What it is not: Core does not include integrations with external systems. It is a private AI assistant, not an agent that reads your CRM or drafts emails in your email client. That is Connected.
Timeline: Live in under one week from project start.
Cost: $6,500 activation, $1,500 per month.
Connected: Integrated AI Agents, 30–45 Days
Connected includes everything in Core plus API integrations with 1–3 of your existing systems. Typical integrations include CRM (HubSpot, Salesforce, Pipedrive), email (Gmail, Outlook), calendar, and accounting software.
With these integrations, the AI agents can do work that matters across your actual tools. The sales agent reads your CRM pipeline and drafts follow-up emails. The operations agent pulls meeting notes and generates action items. The finance agent reads invoice data and flags exceptions. None of this requires your team to copy-paste between systems.
What is included:
- Everything in Core
- Integration development for 1–3 systems
- Department-specific agent configuration (Sales, Marketing, Operations, Finance — typically 2–3 departments at Connected tier)
- Testing and validation of each integration before go-live
- Team onboarding documentation and training
Timeline: 30 to 45 days from project start.
Cost: $12,500 activation, $3,000 per month.
Orchestrated: Multi-Agent System, 60–90 Days
Orchestrated is a full multi-agent deployment across your business. It includes an orchestrator agent that coordinates specialist agents across departments, governance infrastructure, audit logging, role-based access, and support for up to 50 users.
This tier is for businesses that want AI operating as a genuine operational layer: running in the background, producing outputs, escalating exceptions, and creating an audit trail, not just answering questions when asked.
What is included:
- Everything in Connected
- 4–5 system integrations
- Multi-department agent deployment (typically Sales, Marketing, Operations, Finance)
- Orchestrator agent with cross-department task routing
- Governance configuration: audit logging, approval workflows, role-based access control
- Up to 50 user accounts
- Full team onboarding program
Timeline: 60 to 90 days from project start.
Cost: $30,000 activation, $7,500 per month.
Want to Know Which Tier Fits Your Business?
The AI Capacity Assessment takes 30 minutes and gives you a specific deployment recommendation with a cost model. No obligation.
What the Deployment Process Looks Like
The deployment process is the same across all three tiers, scaled to the scope.
Week 1: Discovery and infrastructure setup. Arkeo's team reviews your existing systems, documents, and workflows. We identify the highest-value use cases, confirm the infrastructure approach, and begin environment setup. For Core, this is the only week. For Connected and Orchestrated, this week sets the foundation.
Weeks 2–4 (Connected) / Weeks 2–8 (Orchestrated): Integration and agent configuration. Arkeo develops the integrations, configures the agents for your specific workflows, and trains the model on your business data. You provide access and review agent behaviours before anything goes live. Nothing is deployed until you have approved how it works.
Final week: Testing, validation, and handover. The full system is tested end-to-end. Edge cases are reviewed. Documentation is prepared. Your team is onboarded. Go-live happens when everything has been validated, not on a fixed calendar date.
After go-live: Managed operations. Arkeo manages the system on a monthly retainer. This is not just monitoring. It includes performance tuning as usage patterns emerge, updates as model improvements become available, and upskilling support as your team finds new ways to use the system.
What You Own When It Is Finished
This is the question that matters most to most business owners, and the answer is straightforward.
The infrastructure is yours. If deployed on-premise, it runs on your hardware. If deployed on a private cloud instance (Azure private, AWS VPC), it runs in an environment you control. Arkeo does not have ongoing access to your data without your explicit permission.
The configuration is yours. The agent behaviours, the integration logic, the trained model configuration — all of it is documented and owned by you. If you chose to move to a different managed provider, the configuration can move with you.
The outputs are yours. Every draft, summary, report, and alert the system produces lives in your environment. It does not pass through Arkeo's systems.
The ongoing relationship. The monthly retainer keeps the system running well. You are not locked into it. The system continues to run if you end the retainer. What you lose is the active management: updates, tuning, and upskilling support. Most clients keep the retainer because the system improves over time with active management, and the cost is small relative to the operational value.
What the Oil and Gas Case Study Shows
One of Arkeo's earlier deployments was for an O&G services company with a documentation problem: safety compliance records, COR audit preparation, and cross-client reports were consuming a disproportionate amount of time from highly skilled staff. The data involved could not be processed through a cloud AI system: it contained client-specific operational details subject to confidentiality requirements.
Arkeo deployed a Core-level system (subsequently expanded) on the client's own infrastructure. The result: 80% reduction in documentation time, automated COR audit preparation, and zero cross-client data contamination. The system has been running for over two years.
The construction case study is similar in structure. Three companies, using AI for estimating, proposal writing, and compliance documentation. 75% reduction in administrative overhead. Zero cloud data exposure. The system runs on infrastructure controlled by each company.
Neither of these deployments required a data scientist on staff. Neither required a major IT project. Both were live and producing value within the timelines described above.
The Right Starting Point
For most businesses coming to Arkeo without prior private AI infrastructure, the right starting point is a conversation, not a proposal. The AI Capacity Assessment is a 30-minute session that maps your current AI use, identifies the highest-value workflows, and gives you a specific deployment recommendation with a cost model attached.
If the recommendation is Core, you can be live in under a week. If it is Connected, you can be live in 30 days. If it is Orchestrated, you know exactly what you are committing to before anything starts.
The assessment is free. There is no obligation to proceed, and there is no sales pitch before you have useful information.
Ready to Start?
Book your free AI Capacity Assessment. 30 minutes, a specific recommendation, and a cost model. No obligation.
Frequently Asked Questions
What is private AI deployment?
Private AI deployment means installing and running AI models on infrastructure you control — either on-premise hardware or a private cloud environment. Your data does not leave your environment. The deployment is managed by a provider like Arkeo, who handles the technical setup and ongoing operations.
How long does private AI deployment take?
With Arkeo: Core is live in under one week. Connected (with CRM, email, and calendar integrations) takes 30 to 45 days. Orchestrated (multi-agent, cross-department) takes 60 to 90 days.
Do I need technical staff to manage the system after deployment?
No. Arkeo manages the system on a monthly retainer. Your team interacts with the outputs — drafts, reports, summaries — not the technical infrastructure.
What happens if I want to end the managed operations retainer?
The system continues to run. The retainer covers ongoing management (updates, tuning, upskilling). Ending it means you are responsible for managing the system yourself or finding another provider. The configuration and code remain yours.
Can I start with Core and expand to Connected or Orchestrated later?
Yes. Most clients start at Core or Connected and expand as they see how the system works and identify additional use cases. The expansion builds on the existing infrastructure rather than starting over.
What data does Arkeo have access to after deployment?
None without explicit permission. The system runs on your infrastructure. Arkeo does not have ongoing access to your data. For managed operations, we work within your environment with your explicit approval for each access session.
Is private AI deployment right for my size of business?
Arkeo's clients range from 15-person specialist firms to businesses with several hundred employees. The relevant question is not size but data sensitivity and AI use volume. The AI Capacity Assessment will give you a direct answer for your specific situation.
Private AI deployment is not a research project or a pilot. It is a working system, on your infrastructure, doing real work within the timelines above. If you want to know what it would look like for your business specifically, the AI Capacity Assessment is the fastest way to find out.
