AI service · AI Automation
AI Workflow & Business Process Automation
We automate the operational work that eats your team's week — invoice processing, document intake, data entry between systems, report assembly, approval routing — by combining LLM intelligence with reliable workflow engineering. The result is measured in hours returned and error rates cut, not in demos.
Free scoping call · Clear ROI plan before any commitment
The challenge
Growing companies accumulate manual glue work: someone re-keys orders from PDFs into the ERP, someone reconciles spreadsheets every Friday, someone routes emails to the right queue by hand. Traditional automation tools choke on unstructured inputs — a scanned invoice, a rambling email, a form filled out wrong — so the manual work persists even after buying software meant to eliminate it.
How we solve it
We map your actual process, then automate it with the right tool for each step: LLMs to read, classify, and extract from messy inputs; deterministic code for calculations and system updates; and human review queues for the exceptions. Every automation logs what it did, flags what it wasn't sure about, and reports throughput and accuracy — so finance and ops leaders can see the ROI in their own numbers.
Capabilities
What we deliver
The building blocks of a production-grade ai automation engagement.
Intelligent document processing
Extraction and validation from invoices, purchase orders, contracts, and forms — including scans and inconsistent layouts — pushed straight into your systems of record.
Email & inbox automation
AI that reads shared inboxes, classifies intent, drafts responses, and routes or resolves requests, cutting response times from days to minutes.
Cross-system workflow automation
Automated handoffs between CRM, ERP, accounting, and ticketing tools that eliminate re-keying and keep records consistent everywhere.
Back-office operations automation
Order entry, reconciliation, onboarding checklists, compliance evidence gathering, and recurring report assembly, run on schedule without a human trigger.
Exception handling & review queues
Low-confidence items route to a clean human review UI with the AI's reasoning attached — so accuracy stays high and people only touch true exceptions.
How we work
A clear path to production
Five stages, each with visible output — you're never waiting on a black box.
Discovery & scoping
We map the problem, success metrics, constraints, and existing systems before writing code. You leave with a clear scope, timeline, and a fixed view of what 'done' means.
Architecture & design
We design the system end to end — data model, integrations, security, and a path to scale — and validate it against your real workloads, not a demo.
Iterative delivery
We ship in short, reviewable increments. You see working software every sprint, give feedback early, and never wait months to find out it missed the mark.
Hardening & launch
Testing, observability, performance, and security are built in, not bolted on. We launch with monitoring in place and a rollback plan ready.
Support & iteration
After launch we stay on — measuring outcomes, fixing fast, and iterating on what the data tells us actually moves the metric.
Representative stack
- Claude (Anthropic)
- OpenAI
- Temporal / event-driven workflows
- n8n (where it fits)
- PostgreSQL / Supabase
- TypeScript / Python
Where it applies
AI Automation in the industries we serve
Vertical context changes what good looks like — see how this capability lands in your space.
Logistics
Tracking, routing, and warehouse software with real-time data and AI-driven optimization.
Explore LogisticsManufacturing
MES, IoT, and predictive AI that improve throughput, quality, and uptime on the floor.
Explore ManufacturingFintech
Payments, lending, and financial platforms built for security, reliability, and compliance.
Explore FintechAnswers
Frequently asked questions
Which processes should we automate first?
The best first candidates are high-volume, rule-describable, and painful: document intake, order entry, invoice processing, inbox triage. We start with a short process audit that ranks candidates by hours saved, error cost, and implementation effort, then automate the top of the list.
How is AI automation different from Zapier or RPA?
Zapier-style tools move structured data between apps on fixed triggers, and RPA replays scripted clicks. AI automation adds judgment: it can read a messy PDF, interpret an ambiguous email, or decide which of five categories a request belongs to. We combine all three approaches — each where it's most reliable.
How accurate is AI document processing?
On typical business documents we target and measure field-level accuracy in the high 90s, with confidence scoring on every extraction. Items below threshold go to human review, so the numbers entering your ERP are verified — and accuracy improves as the reviewed corrections feed back in.
Will automation disrupt our current operations during rollout?
No — we run new automations in shadow mode alongside your existing process first, compare outputs, and cut over gradually. Your team keeps working normally while the automation earns trust with real data.
Ready to build with AI Automation?
Book a free consultation and we'll map the fastest path to a working system — with the metric that proves it.