AI Automation & Integration

Replace manual workflows with intelligent agents.

We build AI pipelines that process, route, and act on data without human intervention - from CRM triage to document extraction to multi-step agent orchestration.

All services
4-8
weeks to production
24/7
always-on pipelines
100%
code ownership
Fixed
fee, no hourly
What we automate
Email & CRM Document Extraction Lead Scoring Report Generation Multi-agent Orchestration
Automation patterns

Common workflows we eliminate.

01
Email & inbox automation
TriageReply draftsRouting
02
Document data extraction
PDFInvoiceContract
03
Lead scoring & qualification
CRMIntent signals
04
Multi-agent orchestration
PlannerExecutorMemory

Real ops impact, measurable.

90%
Reduction in manual processing time
24/7
Pipeline uptime
30d
Post-launch support
Engineering approach

Built to run, not to demo.

01 · Map
Process mapping
We trace every manual step, decision point, and exception handler in your current workflow before writing a line of code.
02 · Build
Pipeline engineering
Modular, testable pipeline components - each with isolated error handling, retry logic, and audit logging built in.
03 · Monitor
Observability layer
Every pipeline ships with latency dashboards, failure alerts, and a trace log so you know exactly what ran when.
Automation in one paragraph

What AI automation actually replaces

Modulus builds AI automation for the repetitive judgement work that sits between systems: document intake and extraction, support triage, reconciliation, reporting, and the handoffs that currently need a person to read something and decide where it goes. Every build ships with monitoring, fallback behaviour when the model is uncertain, cost controls, and a human review point at any step where a wrong answer is expensive. Scope and fee are agreed in writing before work starts, and you own the code. Modulus works with teams in the United States, United Kingdom, Singapore, Hong Kong, Australia, Indonesia, Germany and France.

What processes are worth automating with AI?

Repetitive work that requires reading and judgement rather than a fixed rule: document extraction, support ticket triage, reconciliation, exception routing and report generation. If a person currently reads something and decides where it goes, that step is usually a good candidate.

How is this different from traditional workflow automation?

Rule-based automation breaks on anything it has not seen. AI automation handles variation in unstructured input — a PDF with a new layout, a ticket phrased unusually — while still routing genuinely ambiguous cases to a person rather than guessing.

What happens when the model gets it wrong?

Every build defines a confidence threshold and a fallback path. Below the threshold, the item is escalated to a human rather than processed. Monitoring records what was escalated and why, so the threshold can be tuned against real outcomes.

Who owns the code?

You do. Modulus delivers the source, documentation and deployment configuration. There is no proprietary runtime you have to keep paying for, and no lock-in to a Modulus-hosted service.

How long does an automation build take?

A discovery sprint runs one to two weeks and produces the architecture and a costed roadmap. A build typically runs four to twelve weeks depending on the number of systems involved and the volume of edge cases in the source data.

Turn your most painful manual process into a pipeline.

Free scoping call. Fixed price. 30-day post-launch support. You own the code.

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