Managed AI systems for mid-market companies
Build an AI
operating layer
without building
an AI department.
AutoMSP designs, deploys, and operates secure AI infrastructure, workflow automations, and production-ready agents across your existing business systems.
Leave with three prioritized AI opportunities, estimated business impact, and a practical implementation path.
Designed for production, not just demonstration
- Works with your existing technology stack
- Human approval controls for sensitive actions
- Monitoring and ongoing optimization
- Cloud, private, and hybrid deployment options
The gap
AI initiatives often stall between prototype and production.
Launching an AI demo is easy. Building a reliable system that connects to business data, respects permissions, handles exceptions, and continues improving is much harder. AutoMSP closes that gap — strategy, infrastructure, automation engineering, and ongoing operations in one accountable delivery team.
Disconnected systems
We connect AI capabilities to the CRM, ERP, support, communication, and data tools your teams already use.
Manual knowledge work
We convert repetitive, document-heavy, and rules-based processes into monitored AI-assisted workflows.
Limited internal capacity
You gain an experienced AI delivery function without recruiting an entire infrastructure and automation team.
Production risk
We design approval gates, access controls, logging, evaluations, and escalation paths into the system from the start.
AI Opportunity and Architecture
Identify where AI can create measurable value before committing — workflow assessment, prioritization, feasibility, data-readiness, ROI roadmap.
AI Infrastructure
A secure, observable foundation for production AI: cloud and model infrastructure, enterprise RAG, integrations, access controls, evaluation.
Workflow Automation
Automate repeatable work across your existing systems — documents, reporting, reconciliation, CRM workflows, approvals, exception routing.
AI Agents
Task-focused agents with defined tools, permissions, and escalation rules — support, knowledge assistants, revenue ops, research, voice.
Managed AI Operations
Keep production systems reliable as models, data, and requirements change — monitoring, optimization, incident response, new use cases.
Use cases
Start with a workflow that has measurable value.
Customer operations
Classify requests, retrieve relevant information, draft responses, update systems, and escalate exceptions to the right person.
Document processing
Extract, validate, reconcile, and route information from invoices, forms, contracts, reports, and operational records.
Internal knowledge
Give employees permission-aware access to answers grounded in company documents, policies, and systems.
Revenue operations
Support research, lead qualification, follow-up preparation, CRM hygiene, and account intelligence.
Voice operations
Handle qualification, scheduling, intake, status requests, and routine service calls with controlled escalation.
Reporting and analysis
Combine operational data, generate recurring reports, identify anomalies, and surface actionable insights.
- 01
Discover
We map the workflow, systems, data, bottlenecks, and business objective.
Deliverable
Prioritized opportunity brief - 02
Design
We define the architecture, integrations, success metrics, controls, and rollout plan.
Deliverable
Technical and implementation blueprint - 03
Deploy
We build, test, document, and release the system through a controlled production rollout.
Deliverable
Working production system - 04
Operate
We monitor outcomes, resolve failures, optimize performance, and expand successful use cases.
Deliverable
Ongoing performance and improvement plan
Case study
Outcomes measured in real workflows.
Logistics operations
From manual intake to AI-assisted routing
A regional logistics provider was manually validating shipment records across three systems. AutoMSP implemented automated document extraction, validation against internal records, exception routing to human operators, and real-time status synchronization — with performance monitoring throughout.
80%
Reduction in manual correction volume
30%
Faster exception resolution
60+
Staff hours saved per month
Measured over 90 days of production operation. Client identity withheld under a confidentiality agreement.
Security
Control is part of the architecture.
AI systems should operate within defined boundaries. AutoMSP designs deployments around your security, privacy, and operational requirements.
- Least-privilege tool and system access
- Human approval for sensitive actions
- Logging and workflow traceability
- Configurable data-retention controls
- Evaluation before production release
- Cloud, private-network, and hybrid options
- Documented escalation and recovery paths
Pricing
Start with a defined opportunity, then scale what works.
AI Opportunity Audit
Free
For companies deciding where AI can produce practical operational value.
- Discovery session
- Three prioritized opportunities
- High-level impact assessment
- Recommended implementation path
AI Automation Pilot
Starting at $7,500
For proving one high-value workflow before expanding.
- One production workflow
- Defined system integrations
- Testing and documentation
- Human approval controls
- Post-launch support
Managed AI Infrastructure
Starting at $12,000/month
For companies adopting AI as an ongoing operational capability.
- Managed AI infrastructure
- Automation and agent development
- RAG and system integrations
- Monitoring and evaluation
- Ongoing engineering support
AI Department as a Service
Custom
For organizations requiring a dedicated, ongoing AI delivery partner.
- AI roadmap and architecture
- Prioritized development capacity
- Multi-agent and voice systems
- Governance and LLM operations
- Service-level commitments
- Executive strategy reviews
Starting prices reflect typical scope; final pricing depends on integrations, data readiness, and security requirements.
FAQ
Questions buyers ask first.
- What does AutoMSP do?
- AutoMSP designs, deploys, and operates AI infrastructure, workflow automations, and task-focused agents for mid-market companies. We work across strategy, engineering, integration, monitoring, and ongoing improvement.
- How is AutoMSP different from an AI consultancy?
- A consultancy may deliver recommendations or a prototype. AutoMSP remains responsible for deployment, integration, monitoring, maintenance, and continuous optimization after launch.
- Do you work with our existing systems?
- Yes. AutoMSP connects AI workflows with existing CRM, ERP, support, communication, cloud, and data platforms. Feasibility depends on available APIs, permissions, data quality, and security requirements.
- What is the difference between AI automation and an AI agent?
- AI automation follows a defined process for repeatable work. An AI agent can interpret context and choose among permitted tools or actions. Production solutions often use agents inside controlled automated workflows.
- How long does implementation take?
- A focused pilot may be delivered in several weeks. Larger multi-system deployments are implemented in phases. Timing depends on integrations, data readiness, security review, and testing requirements.
- Can a person approve an AI-generated action?
- Yes. Sensitive steps can be configured to require human review before an email is sent, a record is modified, or another consequential action is executed.
- What is AEO?
- Answer engine optimization improves how clearly a company and its expertise can be understood, retrieved, and cited by AI-assisted search and answer systems. It combines technically accessible content, structured information, authority, and direct answers to relevant questions.
Commercial terms — including code ownership, data handling, and post-contract access — are documented during engagement. See security and terms.
Book a free AI opportunity audit
Find the first AI workflow worth putting into production.
Book a 30-minute AI opportunity audit. We will identify three practical opportunities, prioritize them by likely impact and complexity, and recommend the best next step. No obligation, no generic AI presentation.
Book your audit now