Service catalog
AI Automation Services
Every service below is delivered as engineered, production-grade capability: designed against your systems, secured, monitored and maintained. Start with the workflows that cost you the most time.
Complete AI automation service catalog
Fourteen capability groups, one operating layer.
Each group is delivered as engineered production capability — designed against your systems, secured, monitored and maintained.
AI Automation
Manual work eliminated
Fully Agentic AI
Systems that decide and act
AI Infrastructure
The foundation beneath it
AEO / LLM Visibility
Be the answer AI returns
- Multi-step workflows
- Data movement
- Approvals
- Notifications
- Routing
- Escalation
- Scheduling
- Data synchronization
- API workflows
- Webhooks
- Event-driven workflows
- Background processes
- Reasoning
- Tool calling
- Data retrieval
- Decision support
- Research
- Classification
- Planning
- Execution
- Follow-up
- Escalation
- Human handoff
Agent types we build
- ICP discovery
- Prospect research
- Lead enrichment
- Lead scoring
- Qualification
- Personalized outreach
- Follow-ups
- CRM updates
- Appointment scheduling
- Sales intelligence
- Pipeline management
- AI SDR workflows
- Voice outbound campaigns
- Website chat
- Email support
- Ticket classification
- Knowledge retrieval
- FAQ resolution
- Customer onboarding
- Ticket routing
- Escalation
- SLA monitoring
- Customer follow-up
- Voice support
- AI receptionists
- Inbound call agents
- Outbound calling agents
- Appointment scheduling
- Lead qualification
- Customer support
- Call routing
- Call summaries
- CRM updates
- Follow-up automation
- Lead enrichment
- Lead routing
- CRM updates
- Pipeline hygiene
- Follow-up
- Opportunity scoring
- Sales forecasting
- Revenue reporting
- Customer lifecycle workflows
- OCR
- Data extraction
- Classification
- Summarization
- Validation
- Contract processing
- Invoice processing
- Forms
- Claims
- Compliance documents
- Purchase orders
- Statements
- Reports
- SOPs
- Policies
- Manuals
- Contracts
- Internal documentation
- Knowledge bases
- Databases
- Product documentation
- Compliance material
Capabilities
- Data aggregation
- KPI reporting
- Executive dashboards
- Anomaly detection
- Automated summaries
- Trend analysis
- Business reporting
- Department reporting
- Content research
- Content generation
- Content repurposing
- Email campaigns
- Lead nurturing
- Social publishing workflows
- Campaign reporting
- Personalization
- Marketing analytics
- Entity optimization
- Knowledge graph development
- Structured content
- Citation strategy
- Brand and entity consistency
- AI search monitoring
- LLM visibility reporting
- Answer-engine optimization
- Generative-engine optimization
- LLM API infrastructure
- Model gateways
- Inference infrastructure
- Vector databases
- PostgreSQL
- Redis
- Containers
- Kubernetes
- Cloud infrastructure
- API gateways
- Authentication
- Secrets management
- Observability
- Logging
- Monitoring
- CI/CD
- AI application infrastructure
- Policy workflows
- Audit evidence collection
- Risk assessments
- Documentation
- Access reviews
- Compliance workflows
- AI inventory
- Model governance
- Approval workflows
- Monitoring
- Workflow monitoring
- Agent monitoring
- Error handling
- Model optimization
- Prompt and evaluation management
- API maintenance
- Integration maintenance
- Security reviews
- Performance optimization
- Usage monitoring
- Cost optimization
- New workflow development
- Reporting
- Continuous improvement
Solution architecture
Seven layers, designed together.
Automation fails when the intelligence layer is built without the integration, security and infrastructure layers beneath it. We design the whole stack in one pass.
Business Systems
Integration Layer
Intelligence Layer
Agent Layer
Automation Layer
Infrastructure Layer
Business Outcomes
Productized services
Repeatable systems we have already engineered.
Each is a defined system with a defined sequence — adapted to your data, tools and approval rules rather than rebuilt from scratch.
AI Sales Automation
- 01Lead discovery
- 02Enrichment
- 03Qualification
- 04Outreach
- 05CRM
- 06Booking
- 07Follow-up
AI SDR
- 01Research
- 02Personalize
- 03Contact
- 04Qualify
- 05Book
- 06Update CRM
AI Voice Receptionist
- 01Answer
- 02Identify intent
- 03Retrieve information
- 04Schedule
- 05Route
- 06Record
- 07Follow up
AI Customer Support
- 01Understand
- 02Retrieve
- 03Respond
- 04Resolve
- 05Escalate
- 06Document
Intelligent CRM
- 01Capture
- 02Enrich
- 03Score
- 04Route
- 05Update
- 06Follow up
- 07Report
AI Document Processing
- 01Receive
- 02OCR
- 03Classify
- 04Extract
- 05Validate
- 06Route
- 07Store
Enterprise Knowledge AI
- 01Ingest
- 02Index
- 03Retrieve
- 04Reason
- 05Answer
- 06Cite
- 07Secure
AI Business Intelligence
- 01Collect
- 02Normalize
- 03Analyze
- 04Detect
- 05Summarize
- 06Report
AEO / LLM Visibility
- 01Audit
- 02Optimize
- 03Publish
- 04Build authority
- 05Monitor
- 06Improve
AI Workflow Transformation
- 01Discover
- 02Map
- 03Prioritize
- 04Automate
- 05Integrate
- 06Monitor
- 07Optimize
AI Infrastructure
- 01Architect
- 02Deploy
- 03Secure
- 04Observe
- 05Optimize
- 06Manage
Agentic Platform Engineering
- 01Design
- 02Orchestrate
- 03Integrate
- 04Deploy
- 05Evaluate
- 06Monitor
24 / 7 workflow
Calls answered. Context captured. Systems updated.
A representative voice-automation workflow: qualify, route, schedule, record, and follow up without losing the human escalation path.
Custom automation
If the workflow is unique, we'll engineer the system around it.
Plenty of operational work does not fit a template. When that happens we build the system rather than bend your process to fit a tool.
- Custom AI agents
- Internal AI applications
- Client portals
- Department-specific copilots
- AI-powered SaaS
- Vertical AI solutions
- API platforms
- Internal automation platforms
- AI orchestration systems
Integrations
Connected to the systems you already run.
Representative platforms across the categories we integrate most often. This is not an exhaustive or exclusive list.
CRM
- HubSpot
- Salesforce
- Attio
- Microsoft Dynamics
Communication
- Gmail
- Outlook
- Slack
- Microsoft Teams
- Twilio
Automation
- n8n
- Make
- Zapier
- APIs
- Webhooks
Data
- PostgreSQL
- Supabase
- Redis
- Vector databases
AI
- OpenAI
- Anthropic
- Google Gemini
- OpenRouter
- Other model providers
Infrastructure
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- Cloudflare
Support
- Intercom
- Zendesk
- Freshdesk
Documents
- Google Drive
- Microsoft 365
- Notion
- Confluence
If it has an API, webhook, database connection or machine-readable interface, there is a strong possibility we can integrate it. Where a system exposes none of those, we will tell you during discovery rather than after a contract.
Implementation process
Six steps from discovery to managed operation.
- 01
Automation Discovery
Understand operations, systems, bottlenecks and the economics of the work being done today.
- 02
Process Mapping
Document current-state workflows, handoffs, exceptions and data flows.
- 03
Opportunity Prioritization
Score and sequence opportunities by value, feasibility, risk and complexity.
- 04
Solution Architecture
Design the AI, automation, integration, data, security and infrastructure layers together.
- 05
Pilot
Build and validate a production-oriented proof of concept against real workload.
- 06
Deploy & Manage
Deploy, monitor, optimize and continuously expand the automation portfolio.
Automation as a service
AI automation is not a one-time software installation.
Production automation requires monitoring, optimization, model management, workflow maintenance, security, integrations, evaluation and continuous improvement. Models change, APIs change, and so does your business.
Security & enterprise readiness
Security requirements are designed into the architecture rather than added after deployment.
Automation touches your customer data, financial records and internal systems. Access, isolation, secrets handling and auditability are architecture decisions made before the first workflow ships.
What we do not claim
We do not advertise certifications AutoMSP does not hold. Where your organization carries specific regulatory or contractual obligations, we design controls to support them and document how each requirement is addressed in the architecture — your compliance team remains the authority on sufficiency.
Differentiation
Why AutoMSP?
Business-first automation
We start with process economics, not AI tools. If the workflow doesn't justify the build, we say so.
Engineering-first implementation
We build production systems with error handling, logging and evaluation — not demo workspaces.
Agentic architecture
Agents are used where autonomous reasoning and execution create real value, and deterministic logic everywhere else.
Integration expertise
We connect the systems you already run instead of proposing a platform replacement.
Infrastructure capability
We build and operate the underlying infrastructure reliable AI operations depend on.
Security-conscious design
Access control, secrets handling, isolation and approval gates are designed in from architecture stage.
Vendor-neutral approach
Technology is selected against your requirements, constraints and economics — not our preferences.
Managed automation
We remain responsible for monitoring and optimization after deployment, because production changes.
Productization mindset
Successful automations become repeatable systems you can extend across teams.
Pricing positioning
Engagement models, priced against scope.
We do not publish fixed prices, because workflow complexity, integration surface, data quality and security requirements decide the effort. These are the models we work within.
One-time discovery
Automation Assessment
Workflow discovery, mapping and a prioritized opportunity model with recommended sequencing.
Fixed scope
Automation Pilot
One high-value workflow built and validated against real workload before wider commitment.
Implementation
Production Deployment
Full implementation with integrations, security controls, monitoring and handover documentation.
Monthly recurring
Managed AI Automation
Ongoing monitoring, evaluation, maintenance, optimization and new workflow development.
Monthly managed
AI Infrastructure Management
Managed model gateways, data stores, environments, observability and cost control.
Project or retained
Custom AI Platform Engineering
Internal AI applications, portals, copilots and orchestration platforms built to your requirements.
Custom engagement
Enterprise Automation Program
Multi-department automation programs with governance, architecture standards and a delivery roadmap.
Start here
Your Next Competitive Advantage May Be Sitting Inside Your Operations.
Find the work your business should stop doing manually.
Identify the highest-value workflows in your business that can be automated, augmented, or transformed with AI.