Systems stay in sync
Your tools share one source of truth — data moves between them automatically. No copy-paste, no drift.
Automate · Intelligent Automation
The work runs itself.
The work runs itself.
You get the week back.
The processes eating your team's week run on their own — accurately, around the clock, in production. We've built automation for eighteen years, from Boston since 2008. One recent build cut an eight-figure ops bill to six.
—— What changes
Automated, the work
just runs.
You know which processes are draining your team. Here's what they look like once they're off your plate — accurate, monitored, and running on their own.
Documents read themselves
Invoices, forms, and contracts get captured, validated, and filed in seconds — with an audit trail behind every field.
Decisions run on rules
Approval logic lives in a versioned engine you can inspect and change — not in one person's head.
It runs without babysitting
Every job is logged, alerted, and reversible — reliability compounds instead of quietly decaying.
—— Why it holds up
Most automation breaks on contact. Ours ships to last.
Real integrations, not bots
We connect through APIs, not screen-scraping — nothing shatters when a vendor changes a button.
Humans stay in control
Edge cases and low-confidence calls route to a person — every action is logged, and every action is reversible.
Monitored from day one
Alerts, retries, and dashboards ship with the build — you see a failure before your customers do.
Your team owns it
We hand over the code and the runbook — no black box, no lock-in, no standing invoice to keep the lights on.
—— Rules Engines · Document Processing · Integration Pipelines
Automation where it actually pays back.
Five places automation earns its keep — rules, documents, and the pipes between your systems. Open one.
01Document Processing & Intelligent Data Capture
What automation does:
- Extracts fields from invoices, forms, contracts, and scans
- Classifies documents and routes them to the right workflow
- Validates against business rules and source systems
- Flags low-confidence extractions for human review
Outcome: Hours of keying replaced by seconds of review.
02Rules Engines & Decision Automation
What automation does:
- Codifies approval logic, eligibility, and exception handling
- Makes every decision transparent, versioned, and auditable
- Lets non-engineers change rules without touching code
- Escalates edge cases to people instead of guessing
- Keeps a full trail of who changed what, and why
Outcome: Consistent decisions at scale — no tribal knowledge required.
03Integration Pipelines & System Orchestration
What automation does:
- Connects ERPs, CRMs, ticketing, and data warehouses
- Moves and transforms data on a schedule or in real time
- Handles retries, backpressure, and idempotency safely
- Maps fields between systems with versioned contracts
- Replaces fragile point-to-point scripts with a managed pipeline
Outcome: Systems that stay in sync without anyone babysitting them.
04Workflow & Back-Office Automation
What automation does:
- Automates onboarding, fulfillment, and case-management flows
- Coordinates hand-offs across teams and tools
- Triggers actions from events instead of manual checks
- Surfaces blockers and SLAs in real time
- Keeps humans in the loop for judgment calls
Outcome: Throughput goes up; the work doesn't pile up.
05Legacy & RPA Modernization
What automation does:
- Replaces brittle screen-scraping bots with real integrations
- Wraps legacy systems in stable, documented APIs
- Adds monitoring, alerting, and graceful failure
- Migrates spreadsheet logic into maintainable services
- Cuts the maintenance tax that RPA quietly accrues
Outcome: Automation that survives the next software update.
—— Where automation meets the day-to-day
Built for real operational workflows.
The repetitive, high-volume processes your team runs every day. Any one of them is a place to start.
Invoice & AP Processing
Capture, classify, and match invoices against POs; route exceptions; post to your ERP automatically.
Onboarding & Provisioning
Automate account setup, access grants, and welcome flows across every internal system from one trigger.
Reporting & Reconciliation
Pull data from every source on schedule, reconcile discrepancies, and ship reports without manual assembly.
Support Triage & Routing
Classify inbound tickets, enrich with context, and route to the right queue with suggested responses.
Order & Fulfillment Flows
Orchestrate orders across inventory, payment, and logistics with automatic status updates and exception handling.
Compliance & QA Checks
Run policy and quality checks on every transaction, log the evidence, and escalate only the genuine exceptions.
—— Engagement tiers
Start with one. Scale to many.
Three ways in — sized to the scope you're ready to take on. Every tier ships to production in 3–12+ weeks.
One workflow, end to end
Pick the one process costing you most. We automate it fully — in production, with monitoring.
- One high-impact workflow scoped and shipped
- Document capture or rules engine or pipeline
- Monitoring, alerting, and human-in-the-loop
- Runbook + handoff to your team
Timeline3–5 weeks
A connected set of flows
Automate a cluster of related processes and the integrations that tie them together.
- Several workflows orchestrated together
- Shared rules engine + integration layer
- Reusable connectors across your stack
- Dashboards, SLAs, and exception queues
- Phased rollout with weekly demos
Timeline6–10 weeks
A platform for automation
A durable foundation your teams build on — governance, security, and scale baked in.
- Automation platform + shared services
- Governance, audit trails, and access control
- Security review and SLAs in production
- Legacy / RPA modernization roadmap
- Enablement so your team owns it
Timeline12+ weeks
—— How we run it
From manual to measured.
A short, gated path from mapping the work to running it reliably in production.
Map the workflow
We shadow the process, quantify the manual cost, and pick the highest-ROI place to start.
Build the automation
Rules, document capture, and integrations assembled into a working pipeline with weekly demos.
Harden for production
Monitoring, alerting, retries, and human-in-the-loop checks so it runs without babysitting.
Measure & scale
Track hours reclaimed and error rates, then extend to the next workflow on the same foundation.
—— Selected work
Automation we've shipped into production.
Real engagements where rules engines, document processing, and integration pipelines replaced manual work.
Cutting an eight-figure ops bill to six.
— Enterprise Process Automation
Manual work automated across HR, payroll, administration, networking, and finance for a 12,000-employee tech group — with reports that generate themselves.
Winning bids at machine speed.
— Auto Auction Bidding Automation
An RPA agent that bids, buys, and sells used cars exactly as a human would — only faster, around the clock, and without missing the auctions that matter.
Shelves that notice what staff can't.
— AI Planogram & Shelf Monitoring
Existing store cameras taught to watch the shelves — flagging staff the moment an item runs empty or sits out of place, then managing the restock.
—— What you need to know
Intelligent Automation FAQs.
How is this different from RPA tools we already have?
RPA bots mimic clicks and break the moment a UI changes. We build real integrations and rules engines that connect to systems through APIs, with monitoring and graceful failure — automation that survives the next update.
Do our documents and data need to be clean first?
No. Messy is the normal starting point. We handle unstructured PDFs, scans, and inconsistent formats, attach confidence scores, and route anything uncertain to a person — so quality improves as the system runs.
Will automation work with our existing systems?
Yes. We integrate with your current stack — ERPs, CRMs, ticketing, data warehouses, and internal tools — and wrap legacy systems in stable APIs where no clean integration exists today.
How do you keep humans in the loop?
Automation handles the high-volume, repetitive work and escalates edge cases and low-confidence decisions to people. Every action is logged and reversible, so your team keeps judgment and control.
How long until something is live?
A single workflow typically reaches production in 3–5 weeks; connected multi-flow builds run 6–10; enterprise platforms run 12+ weeks. Phased delivery means you see operational improvements early, not at the end.
Which tier should we start with?
Most teams start with Single — one painful workflow, fully automated — to prove the value, then expand to Multi or Enterprise on the same foundation. We help you pick the highest-ROI place to begin.