AI Automation & Integration — Wire AI Into the Systems You Already Run
AI automation is the practice of embedding AI into existing business systems — CRMs, ERPs, cloud tools — to run manual, repetitive workflows automatically. Perimattic builds and deploys these integrations to fixed scope, then hands over a runbook so your team stays in control.
Overview
What is IntelliFlow?
AI automation connects AI models to your existing tools so repetitive work — data entry, routing, classification, summarisation, follow-ups — happens automatically inside the systems you already use. Unlike standalone AI apps, it operationalises AI into your live workflows. Perimattic's IntelliFlow builds these integrations and hands over a full runbook.
Buying an AI tool is easy; getting AI to actually *run* inside your business is the hard part. IntelliFlow is the operational layer — we take a manual, repetitive workflow and wire AI into your real stack so it runs without a person babysitting it. The value isn't the model, it's the integration: connecting to your CRM, your ERP, your cloud, handling the edge cases, and giving your team a runbook so they own it afterwards. This is where most AI ROI is actually captured — not in flashy demos, but in quiet, reliable automation of work people hate doing.
IntelliFlow uses a proven stack — Make and n8n for the orchestration layer, direct API integrations for the tools that matter, and a shared error-handling and observability pattern across every workflow. That predictability is why we can commit to 3–6 weeks per workflow and offer a retainer that keeps adding more of them at a steady clip.
What You Get
What you get
We map a manual workflow, build the AI-powered automation, integrate it into your existing systems, deploy it, and hand over documentation so your team can run and extend it. Optional retainer for ongoing operation, edge-case handling, and adding new workflows. Every automation includes error-path handling — dead-letter queues, retry logic, escalation to a human on repeated failure — so a bad input never silently corrupts your systems.
Scope
Fixed scope — what is and is not included
| Not included | Included |
|---|---|
Third-party platform licence costs (Make, n8n, LLM API bills) | Process discovery and mapping workshop |
Net-new application development | AI automation build with prompt design and testing |
Unlimited workflows — scoped per engagement | Integration with CRM, ERP, and cloud systems |
Ongoing operation after handover unless you opt into a retainer | Edge-case handling and error-path routing |
Testing against your production data | |
Deployment inside your environment | |
Runbook and handover training |
| Timeline | Best for | Tech stack |
|---|---|---|
| 3–6 weeks per workflow + optional retainer | Ops-heavy teams — sales operations, marketing operations, finance operations, support operations, HR operations | Make (formerly Integromat)n8nCloud and app APIsCustom integration connectorsLLM services (OpenAI, Anthropic, Azure) |
Process
How it works
Discovery
We pick the workflow, map inputs, steps, systems and exceptions. The output is a one-page process spec that describes what "done" looks like in measurable terms.
Build
We construct the AI automation and the integrations it needs. Prompt design is tested against a representative sample of production data — not on made-up examples.
Integrate and test
The automation is wired into live systems. Edge cases are handled — the messy 15% of inputs that break naive automation. Every failure path is instrumented so the operations team can see what happened without our involvement.
Deploy
Ship into production. Deployment includes error alerting, retry configuration, and a rollback path in case something misbehaves after go-live.
Handover
Runbook, training for the operations team that owns the workflow, and optional retainer for ongoing operation and expansion. Most customers start with one workflow, then use the retainer to add three or four more over the following quarter.
Use Cases
Use cases
These are the workflows we see repeatedly — the ops-team backlog of "we should automate this someday." Once one is running, the retainer typically absorbs several more without a fresh engagement.
Lead capture → CRM enrichment → routing
Inbound lead comes in, gets enriched against public data and your ICP, is routed to the right rep based on rules, and creates the CRM record with a first-touch email drafted for review. Reduces time-to-first-contact and eliminates the "leads that fell through the cracks" leak.
Invoice and document processing
Extract structured data from PDFs and images, validate against expected fields, post to your finance system, flag exceptions for a human. Handles the boring half of accounts payable while the finance team focuses on the anomalies.
Support ticket triage and drafting
Incoming tickets are categorised, prioritised, and a first-draft response is generated for the support agent to review or send. Cuts agent time per ticket and improves consistency of tone across a large team.
Report generation and distribution
Pull data from source systems, generate a formatted report, distribute to a stakeholder list on a schedule or event trigger. Common for weekly ops reports, pipeline snapshots, and executive dashboards.
Data sync and enrichment across tools
Keep records consistent across CRM, marketing automation, billing, and analytics tools — with AI handling the fuzzy matching where deterministic sync fails.
Results
Proven in production
AI-driven workflow automations deployed by Perimattic are running across sales operations, finance operations, and support operations. Every automation ships with the same error-handling pattern and runbook discipline, which is what makes them safe to leave running without babysitting. The retainer motion is the compounding one — customers add more workflows over time as they see the first one working.
Why Us
Why Perimattic for AI workflow automation
Perimattic started in 2018 as a DevOps and monitoring company — automation is where we come from, not a category we bolted on for the AI wave. That real infrastructure discipline is what lets IntelliFlow connect cleanly to your live systems and hand over something your team can actually operate. The retainer keeps improving it — this is the stickiest, most compounding service in the suite. And because Perimattic also owns two of our own integration platforms (ERPPlugs for ERP integrations, Intellyx for manufacturing), we bring hard-won pattern knowledge on what breaks in production and how to prevent it.
Frequently Asked Questions
Frequently asked questions
What's the difference between AI automation and RPA?
Traditional RPA (robotic process automation) automates deterministic, rules-based workflows — the ones with predictable inputs and clear success criteria. AI automation adds a probabilistic layer that handles unstructured inputs, ambiguous cases, and generative tasks. In practice, most modern automations are hybrid — deterministic where the workflow allows, AI-powered where it does not. IntelliFlow builds either or both depending on what your workflow needs.
What systems can you integrate with?
CRMs (Salesforce, HubSpot, Zoho, Pipedrive), ERPs (SAP, Oracle NetSuite, Microsoft Dynamics 365, Odoo), cloud storage (SharePoint, Google Drive, S3), support tools (Zendesk, Freshdesk, ServiceNow), messaging (Slack, Teams, WhatsApp Business), and any tool with a REST API. If a target has no API, we can often wire it up through Make or n8n community connectors — or build a custom one if the ROI justifies it.
Do we need to replace our current tools?
No — the whole point of IntelliFlow is to operate on the tools you already have. Replacement is the expensive path; integration is the ROI path. If a tool is genuinely limiting the workflow we'll flag it, but we start from your current stack and only recommend swaps when the numbers actually add up.
How is this different from buying an AI SaaS?
AI SaaS products solve generic problems generically. IntelliFlow solves your specific workflow against your specific tool stack — with your business rules baked in and your edge cases handled. A generic SaaS handles the 80% happy path; a custom IntelliFlow build handles the 100% including your specific messy 20%. Also, you own the automation — not the vendor.
Who owns and maintains the automation after handover?
You do. Every IntelliFlow build ships with a runbook detailing how each step works, how to configure it, how to troubleshoot it, and how to extend it. Your operations team can maintain and grow the automation without Perimattic. If you'd rather offload maintenance, our monthly retainer covers ongoing operation, edge-case tuning, and adding new workflows on request.
How fast can one workflow go live?
The fixed window is 3–6 weeks per workflow. The exact window depends on integration complexity, edge-case volume, and whether the workflow needs to be deployed inside your VPC. Straightforward CRM-to-CRM sync workflows land at the shorter end; complex multi-system finance workflows land at the longer end.
What does it cost?
IntelliFlow is quoted as a fixed scope per workflow, plus an optional monthly retainer for ongoing operation and adding new workflows. The build price is quoted against the workflow spec produced at discovery — no hourly billing. Contact us for a costed proposal.
Related
Related in the Perimattic AI Suite
IntelliFlow pairs naturally with these sibling modules.
ERP AI Integration
ERP-specific automations sit in the ERP AI service; general-purpose automations sit here.
ExploreAI Agent Development
For workflows that need reasoning and tool selection, an agent is often the right shape.
ExploreAI Blueprint
If you have not yet chosen which workflows to automate first, start here.
ExploreAutomate a workflow — fixed price, fixed timeline
One-page scope. One-page price. One clear delivery window.
Automate a workflowOr email us at sales@perimattic.com
Perimattic AI Suite — All Services