→ enterprise AI automation services
Enterprise AI automation services for processes that have to work in production
Custom code-first automation that owns a workflow end-to-end. Not Zapier. Not no-code templates. The layer where the workflow is too custom for a template and too important for an RPA bot.
Overview
How we approach this work.
Enterprise AI automation services from Resser cover the workflows your business actually runs on: document review, intake triage, multi-system orchestration, compliance review, support escalation, and operational decisions that touch three or four systems before they complete.
We do not sell no-code templates. We do not sell 'AI automation agency in a box'. We build custom automation that integrates with your real systems, runs with the reliability your operations need, and includes the human-in-the-loop step where the cost of being wrong is high.
Every automation we ship has eval coverage, cost telemetry, retry logic, and an audit log. The point of automating a serious workflow is to make it more reliable than the manual version, not less.
What we build
Concrete deliverables.
Document processing pipelines
Extract structured data from invoices, contracts, claims, onboarding docs, RFPs. Routed to downstream systems with audit trail.
Intake and triage agents
Classify, route, and prioritize incoming work: support tickets, leads, patient intake, compliance reviews.
Multi-system workflow agents
Agents that touch your CRM, your ERP, your billing, your internal database, your email, and your messaging in one workflow.
Compliance and audit workflows
Human-in-the-loop review agents for regulated industries. Every decision logged, citable, and overridable.
Operations copilots
Internal-facing copilots that help your ops team handle non-routine cases faster, with citations from your runbooks.
Custom workflow orchestration
LangGraph, Temporal, n8n + custom code, or a bespoke orchestrator when the workflow shape does not fit a framework.
How we do it
The process, in four phases.
Map the workflow
Discovery week: shadow the manual process, document the systems it touches, identify the decision points where AI helps and the ones where it cannot.
Prototype the critical path
Build the highest-leverage step first. Measure. If it does not clear the bar, we redesign before scaling out.
Scale out with guardrails
Cost ceiling, rate limit per cohort, fallback when the model is unavailable, escalation when confidence is low.
Operate
Audit log, dashboards, weekly review of cost and accuracy. Your team owns the runbook.
Stack
What we build with.
Orchestration
LangGraph, Temporal, Inngest, n8n + custom code, Trigger.dev, bespoke state machines in TypeScript or Python.
Document AI
Anthropic Claude (vision and document understanding), Gemini for long context, Tesseract / Unstructured for OCR, Pydantic for structured outputs.
Integrations
Salesforce, Dynamics, SAP, NetSuite, Odoo, Hubspot, Zendesk, internal Postgres, SQL Server. REST, GraphQL, gRPC, SOAP, webhooks, SFTP.
Observability
Helicone for cost and latency. Datadog or Grafana for system metrics. Audit log in Postgres or Clickhouse.
Outcomes
What we ship.
Fintech compliance review: reviewer time-per-case sharply reduced, throughput multiplied without adding headcount, low override rate preserved authority.
Healthcare intake triage: hours-long manual routing replaced with near-instant automated classification at high accuracy.
Industrial SaaS: technician work-order resolution time materially reduced via agent-assisted lookups.
References with names available after a scoping call.
Related services
Other places this work shows up.
FAQ
Frequently asked.
How is this different from Zapier or Make?
Zapier and Make are great for simple, well-defined glue between SaaS APIs. We build the custom layer in between: workflows that are too custom for a template, touch internal systems no-code tools cannot reach, and need eval, observability, and audit logs to run in production.
How is this different from RPA platforms (UiPath, Automation Anywhere)?
RPA platforms record screen actions and replay them. Our automations are API-driven, eval-tested, and survive when the underlying systems change. RPA fits old systems with no APIs. Our work fits modern systems where the API exists and the decision is the hard part.
Will the AI replace people or just help them?
Help them. Every serious automation we ship has a human-in-the-loop step where the cost of being wrong is high. The point is to make your team faster and more consistent, not to remove them.
Can you integrate with our existing CRM, ERP, and internal databases?
Yes. This is most of the work in any serious automation project. We integrate with Salesforce, SAP, Dynamics, NetSuite, Odoo, Hubspot, internal Postgres and SQL Server, and bespoke in-house systems via REST, GraphQL, gRPC, SOAP, and webhooks.
How much does a custom automation cost?
Simple single-step automation: €10,000-€25,000. Multi-step workflow touching 2-3 systems: €25,000-€50,000. Enterprise-grade automation with audit, eval, and on-prem deploy: €50,000-€150,000+.
Want to scope this for your project?
Fill the project-estimate form. We reply within one business day with a preliminary scope and a rough budget bracket.