Document Processing
OCR and NLP systems that classify contracts, invoices, and forms, extract the right data, and route uncertain cases for review.
AI Automation
Production-Grade AI Automation Built for Real Business Operations
We build engineered automation systems for startups and growth-stage companies - integrated with your actual workflows and data, and designed to keep working beyond the demo.
- Custom-built systems
- Human review where it matters
- Production monitoring
The opportunity
Remove the repeated work that quietly consumes every week
Most businesses are not losing time to one big problem. They are losing it to the same manual work repeated every day: documents waiting to be read, processes waiting for a handoff, and decisions that follow a pattern but still require a person to move them forward.
We build the automation around the way your operation really works. That means choosing AI only where it handles variation better, using reliable rules where they are enough, and integrating both into the systems your team already depends on.
The operational layer between your people and systems
Each system is scoped around a measurable workflow, with clear exception handling and ownership when a human decision is still required.
Workflow Orchestration
Multi-step processes that move decisions and data across CRMs, ERPs, and internal tools without manual chasing or handoffs.
Decision Support
Systems that surface the right data, flag anomalies, and recommend next steps while keeping people in control of the final call.
Email and Support Triage
Classification and routing for high-volume requests, with repeatable cases handled automatically and exceptions escalated.
Cross-System Integration
Resilient connections between the tools that hold your data but were never designed to work together as one operation.
Multi-Step Automation
Custom orchestration for workflows with multiple systems, decision points, and real-world variation that fixed rules cannot cover.
Real result
15 hours saved per week in scheduling and dispatch
A field inspection company was scheduling technicians across multiple locations by hand. We built an AI-assisted scheduling and dispatch system with intelligent assignment, route optimization, and automated notifications, integrated with their existing tools.
Read the full case studyScheduling used to eat half my Monday. Now it just happens. Software Sushi built something that actually understands our routes - we are fitting in more jobs every day and our dispatchers finally have time to breathe.
D. Kowalski, Operations Manager, Alarm Inspection Company
- 15h
- weekly dispatcher time recovered
- 1
- connected scheduling workflow
Right-sized automation
When automation is not the right fit, we will say so
Not every process should be automated. A workflow that is inconsistent, lacks reliable inputs, or depends on judgment that does not follow a repeatable pattern will not become dependable just because a model is added.
We identify those constraints before the build and recommend a human-in-the-loop design, a simpler rules-based system, or no automation yet when that is the more responsible answer.
From workflow map to monitored production system
- 01
Consulting First
We map the current workflow, assess data quality, and identify where automation creates value versus added complexity.
Learn how our consulting works - 02
System Design
We decide where AI or ML is useful, where rules are more reliable, and how exceptions and approvals should flow.
- 03
Build and Integrate
We engineer the custom system and connect it to the tools your team already uses, with testing around real inputs.
- 04
Monitor and Maintain
Observability is built in from the start so performance, model behavior, and integration failures do not degrade silently.
Automation you can trust with real work
Human control at high-stakes points
Review checkpoints are designed into workflows where an error carries real cost.
No generic no-code wrapper
The orchestration logic is engineered around your process instead of assembled from a fixed template.
Resilient integrations
Connections are designed for retries, changing inputs, and the operational failures that happen in production.
Clear ownership and observability
Your team can see what the system did, what needs attention, and when a human should step in.
What teams ask before we start
Clear answers on scope, architecture, data, and delivery.
How much does AI automation cost?
Cost depends on workflow complexity, the number of systems involved, and how much data preparation is required. We provide a fixed-price estimate after the consulting phase rather than a vague hourly retainer.
What processes are best suited for AI automation?
High-volume, repetitive processes involving pattern recognition or decisions are strong candidates: document review, scheduling, email and ticket triage, and data extraction. Processes without repeatable structure usually need a human-in-the-loop design.
What is the difference between AI automation and RPA?
Traditional RPA follows fixed rules and often breaks when inputs change. AI automation can handle variation and ambiguity, which matters when data is messy, workflows evolve, and edge cases are part of daily operations.
Do you offer consulting without a full build?
Yes. Many engagements begin with a consulting phase to map workflows and assess data readiness before any development commitment.
What systems can you integrate with?
We have integrated CRMs, ERPs, field service platforms, internal databases, and custom business applications. If a system exposes an API or accessible data, we can usually connect it.
Do you keep a human in the loop for high-stakes decisions?
Yes. For document processing and other workflows where an error has real cost, we build explicit human review checkpoints into the system.
How long does a project take?
A single well-scoped process typically takes a few weeks. Multi-system orchestration projects take longer and are scoped individually after the consulting phase.
Related expertise
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Your workflows
Book a Discovery CallLet us find the manual work worth removing
If a repeated process is quietly costing your team hours every week, we will help you determine whether it is ready for AI automation.