What we do
Six ways we help small and mid-sized businesses put AI agents to work, from a single automated workflow to a fully managed agent running your front line.
What is Managed AI Agents?
AI Abstraction hosts your agent, monitors it around the clock, and fixes problems before you notice them. That means uptime monitoring and alerting, model version upgrades handled for you, ongoing prompt and accuracy tuning, a monthly cost and performance report, and a named person you can call when something needs attention.
Who it’s for
Any business that already has, or is about to get, an AI agent and does not want to babysit it.
What you get with Managed AI Agents
- 24/7 uptime monitoring and alerting
- Model version upgrades handled for you
- Ongoing prompt and accuracy tuning
- Monthly cost and performance reports
- A named person you can call
Example scenario
Illustrative exampleA home care agency changes its referral form, and its intake agent starts filling in the wrong fields. Our monitoring spots the drop in accuracy. We update the agent's instructions, and it is fixed before the office notices.
Related terms: Managed AI Hosting, Uptime Monitoring, SLA (Service Level Agreement), Prompt Tuning
What is Workflow Orchestration?
AI Abstraction connects your systems so one action, like a booking, a form, or a sale, updates everywhere it needs to without anyone retyping it. Your CRM, calendar, email and spreadsheets work as one, and you get a clear map of how information moves through the business plus an alert if a connection ever breaks.
Who it’s for
Businesses juggling multiple tools, like a CRM, calendar, email, and spreadsheets, that do not talk to each other.
What you get with Workflow Orchestration
- Your systems connected end to end
- No more manual copy-paste between tools
- A clear map of how information moves through your business
- An alert if a connection ever breaks
Example scenario
Illustrative exampleA mortgage broker used to retype every web inquiry into the CRM. Now each new inquiry adds the contact, books a call with the right loan officer and drafts a confirmation. It all waits for one approval.
Related terms: Workflow Orchestration, Webhook, API (Application Programming Interface), CRM (Customer Relationship Management)
What is Production Engineering?
AI Abstraction builds the systems underneath your agent, the APIs and infrastructure, the way production software is supposed to be built: tested, monitored and documented. That means code that handles real usage rather than a demo, monitoring and error alerting from day one, clear technical documentation, and a system that can grow as your business does.
Who it’s for
Businesses whose AI project needs to hold up under real traffic and real customers, not just work in a demo.
What you get with Production Engineering
- Code and infrastructure built to handle real usage
- Monitoring and error alerting from day one
- Clear technical documentation
- A system that can grow as your business does
Example scenario
Illustrative exampleAn insurance broker's renewal agent has to work through hundreds of policies in renewal season. We test it under that load first, then watch it like any system the business depends on.
Related terms: API (Application Programming Interface), Latency
How do answers from your own documents work?
AI Abstraction trains your agent on your own documents, like manuals, FAQs and policies, so its answers are specific to your business instead of generic internet knowledge. Answers stay current as you update the source material, wrong or made-up answers get rarer, and your own team gets a searchable knowledge base too.
Who it’s for
Businesses whose agent needs to know their specific answers, like policies, product details, and procedures, not generic internet knowledge.
What you get with Answers From Your Own Documents
- An agent that answers from your real documentation
- Answers that stay current as you update your source material
- Fewer wrong or made-up answers
- A searchable knowledge base your own team can use too
Example scenario
Illustrative exampleA CPA firm's agent answers routine client questions from the firm's own engagement letters and checklists. It does not guess at tax advice. Anything that needs a judgment call goes to a partner.
Related terms: Retrieval-Augmented Generation (RAG), Knowledge Base, Vector Database
What is Lead Intake & CRM?
AI Abstraction builds agents that qualify leads, turn a business card photo into an enriched CRM contact, book the follow-up meeting, and log every conversation in your CRM. Leads get scored and sorted automatically, follow-ups get queued without manual entry, and the workflow is built around how your team already works.
Who it’s for
Businesses getting leads faster than they can qualify, or collecting business cards at events, that need it all going straight into the CRM.
What you get with Lead Intake & CRM
- Leads scored and sorted automatically
- Business cards turned into enriched CRM contacts automatically
- Meetings booked and follow-ups queued without manual entry
- Every conversation and contact logged in your CRM
- Custom workflows built around how your team already works
Example scenario
Illustrative exampleAfter a mortgage networking event, a stack of business cards becomes full CRM contacts. Each one gets a follow-up email, drafted and waiting for your approval.
Related terms: Lead Qualification, Lead Enrichment, CRM (Customer Relationship Management)
What is Compliance & Documentation?
AI Abstraction builds logging and documentation into your agent from the start, so every conversation and decision is recorded and reviewable. You get a complete record of every interaction, documentation ready for audits or reviews, and clear escalation rules for anything the agent should not handle alone.
Who it’s for
Businesses in regulated or high-trust industries, like healthcare, finance, or insurance, that need a paper trail.
What you get with Compliance & Documentation
- A complete record of every agent interaction
- Documentation ready for audits or reviews
- Clear escalation rules for anything the agent should not handle alone
- Peace of mind for you and your compliance team
Example scenario
Illustrative exampleAn insurance agency needs proof of what its intake agent told each caller. Every conversation is saved with a timestamp, so it is easy to find later.
Related terms: Compliance Logging, Human-in-the-Loop
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