AI Automation Services
Where RPA stops, AI automation starts.
Automation for the 80% RPA never could handle. Unstructured documents, email triage, multi-system reasoning, messy real-world inputs. Shipped in phases. ROI measured per workflow.
- 4-8 wkfirst workflow live
- Loggedevery run, with a replayable trace
- Humanapproval on anything that moves money
- Yoursto run without us, with no lock-in
AI automation is the use of language models and workflow orchestration to run business processes whose inputs are unstructured: PDFs, email threads, forms, claims, and free text that rule-based scripts cannot parse. Cubitrek ships these workflows one at a time, starting with a single First Workflow build, and meters each one with ROI telemetry so the saving is measured rather than asserted. RPA only handles fixed rules and clean inputs. Most real work is neither. AI automation reads any invoice format. It classifies emails by intent. It reasons across systems and handles the edge cases that broke your old scripts.
What we ship
Everything under one roof.
Intelligent document processing
Invoices, contracts, forms, claims, and statements extracted at 95%+ accuracy. Handles layout variation, multiple languages, and handwriting. No templates to maintain.
Email and ticket triage
Classify, route, enrich, and draft responses for inbound email and support tickets. Keeps humans in the loop only where judgment is required.
CRM and data enrichment
Automated lead enrichment, account hygiene, pipeline scoring, and deduplication across Salesforce, HubSpot, and your data warehouse.
Marketing operations
Content production, email variants, ad creative rotation, SEO briefs, and social scheduling. Orchestrated across your MarTech stack.
Supply chain and logistics
Demand forecasting, PO matching, exception handling, and supplier comms. The work that used to burn analyst days.
Compliance and legal automation
Contract review, clause extraction, policy checks, and regulatory monitoring. Full audit trail on every decision.
How we automate
The automation stack, layered for judgment.
Rule engines for the predictable, AI for the ambiguous, humans for the consequential. Each layer picks up what the one below cannot handle.
Document intelligence layer
Reads unstructured documents, extracts structured data with confidence scores.
- Trigger
- On any new document in the inbox or upload folder.
- Output
- Clean JSON ready for downstream systems, with provenance links back to the source.
Workflow orchestrator
Chains LLM steps with API calls, database writes, and human approvals.
- Trigger
- On business events from your systems.
- Output
- End-to-end execution with retries, idempotency, and full audit trail.
Exception agent
Catches low-confidence outputs and routes to the right human with a decision draft.
- Trigger
- When the main workflow confidence score drops below threshold.
- Output
- Human gets a pre-filled decision in 30 seconds, not a cold case file.
ROI telemetry
Measures time saved, cost saved, and error rate per workflow.
- Trigger
- Continuous, rolled up weekly.
- Output
- Dashboard per workflow. Proves value or flags regression.
If a workflow cannot prove ROI in 90 days, we kill it. No sacred cows.
How an automation actually ships
The stack we drop into your operations.
Four layers. Inputs on top, your systems on the bottom, and a measured Cubitrek stack in between. Every decision is logged, every workflow is metered, no black box.
- 01Document intelligence
Reads any unstructured input. Emits structured JSON with confidence scores and provenance links.
- 02Workflow orchestrator
Chains LLM judgment with API calls, DB writes, and human approvals. Retries and idempotency built in.
- 03Exception agent
Routes anything below the confidence threshold to a named human with a pre-filled decision draft.
- 04ROI telemetry
Measures hours saved, dollars saved, and error rate per workflow. Proves value or flags regression.
Drop this into your stack
Three call patterns you can use today.
These are the shapes you would call from your own systems to push work into a Cubitrek automation, or to pull a result back out. We integrate over webhook, REST, or direct database connection.
Example payload returned by the document intelligence layer for a parsed invoice. Provenance links point back to the source PDF page and bounding box.
{
"engagementId": "eng_d8f4c0b2",
"documentType": "invoice",
"confidence": 0.97,
"fields": {
"invoice_no": "INV-7741",
"vendor": "Stark Industries",
"vendor_id": "VEN-228",
"issue_date": "2026-05-14",
"due_date": "2026-06-13",
"currency": "USD",
"amount_subtotal": 13800.00,
"amount_tax": 450.00,
"amount_total": 14250.00
},
"lineItems": [
{ "description": "Arc reactor maintenance",
"quantity": 1, "unit_price": 12500.00 },
{ "description": "Site visit, technician",
"quantity": 4, "unit_price": 325.00 }
],
"provenance": {
"source_uri": "s3://invoices/2026-05/INV-7741.pdf",
"page": 1,
"bbox": [120, 340, 820, 462]
}
}How we work
How the work actually runs.
- 01
Workflow audit
We map your top 10 high-volume workflows. Rank by time spent, automation feasibility, and dollar ROI.
- 02
Automate one
Ship one workflow in 4 to 8 weeks. Real data, measured baseline, measured outcome.
- 03
Roll out the stack
Subsequent workflows go faster because document AI, orchestrator, and telemetry are already in place.
- 04
Operate
Ongoing monitoring, model refresh, and tuning. Fleet-level view of every automation's health and ROI.
What good looks like
Representative outcomes.
Directional numbers from real programs. On the call we walk through the case studies behind them, method included.
- every run, with the failure path written before the happy path
- Loggedevery run, with the failure path written before the happy path
- approval on any step that moves money or reaches a customer
- Humanapproval on any step that moves money or reaches a customer
- to run without us: no black box, no lock-in
- Yoursto run without us: no black box, no lock-in
Who we serve
Categories we already know.
- Financial services
- Insurance
- Healthcare
- Legal
- Logistics
- SaaS
- Manufacturing
- E-commerce
What clients say
I was particularly impressed by their creative approach and attention to detail.
Videography & photography company · website, SEO + design
They delivered the project on time.
Watch retailer · Shopify store build
Cubitrek always had a positive mindset and was kind.
Personal training company · video + social media
Questions buyers ask us.
- RPA runs fixed rules against structured inputs. Tables, fields, UI clicks. AI automation reads unstructured inputs like PDFs, emails, images, and voice. It applies judgment, handles variation, and learns from labeled outcomes. You need both. RPA for the 20% that is deterministic, AI for the 80% that is not.
- Pick a high-volume, high-cost process with clear success criteria. Invoice processing, email triage, lead enrichment, and customer onboarding are typical first wins.
- Production systems hit 95 to 99% on structured fields like amounts, dates, and account numbers. Free-text extraction lands at 85 to 95%. Low-confidence cases are routed to a human with full context.
- It removes the repetitive 60 to 70% so your team focuses on exceptions, vendor relationships, and process improvements. Most clients reinvest the savings into growth, not layoffs.
- We baseline the manual workflow before we automate. Time, cost, error rate. Then we measure weekly after. The dashboard shows hours saved, dollars saved, and quality delta per workflow.
- Yes. The orchestration layer connects ERP, CRM, email, databases, and custom APIs. The LLM reasons across systems and takes action with idempotent retries and a full audit trail.
In production
See an AI workflow platform, down to the architecture.
- Meridian48: nightly AI workflows behind a news platform
47 sources in, validated briefs out: an LLM relevance gate, schema checks in code, per-desk caps, a 48-hour indexing lifecycle and a crawler policy enforced at the edge.
- AI automation for marketing: email, social and content workflows
The email, social and content production workflows worth automating, the tooling behind them, and which to start with.
Ready when you are
Ready to start AI automation?
A 15-minute call. We map the goal, look at what exists, and come back with a scoped plan.