Workflow Automation with AI
End-to-end automation of complex multi-step business workflows using AI decision-making. We map your processes and design intelligent pipelines that adapt to exceptions and edge cases.
AI & MACHINE LEARNING
AI Automation That Works
We design and deploy intelligent automation workflows that eliminate repetitive work, reduce errors, and free your team to focus on what matters — saving an average of 70% in manual processing time.
80+
Automation Workflows Built
70%
Avg Time Saved
500K+
Tasks Automated Monthly
Fixed scope, fixed price
A number before we write code
Your IP from day one
Full ownership on final payment
Senior engineers only
No juniors on your budget
Reply within 1 working day
From an engineer, not a bot
Get Your Custom Project Plan
Share your project details — a senior engineer responds within one working day.
🔒NDA Protected
⚡24hr Response
💬Free Consultation
Our Capabilities
Document Processing & Extraction
Automate extraction of structured data from invoices, contracts, forms, and reports using LLMs and OCR. Reduce manual data entry by up to 95% while improving accuracy.
Email & Communication Automation
AI-powered email triage, drafting, and routing. Auto-classify incoming messages, generate context-aware responses, and escalate priority issues without human intervention.
Data Pipeline Automation
Intelligent ETL pipelines that clean, transform, and enrich data using AI models. Handle unstructured inputs, detect anomalies, and maintain data quality automatically at scale.
Decision Automation
Replace manual approval workflows with AI-driven decision engines. Automate credit scoring, content moderation, lead qualification, and compliance checks with explainable AI.
RPA + AI Hybrid Workflows
Combine traditional Robotic Process Automation with AI intelligence to handle both structured and unstructured tasks. We integrate with UiPath, Automation Anywhere, and custom RPA stacks.
How we work
Fixed milestones, working software every fortnight, and no surprises on the invoice.
- 01
Process Audit
We map your existing workflows, identify bottleneck tasks, quantify time costs, and rank automation opportunities by ROI potential and implementation feasibility.
- 02
Automation Design
We design the automation architecture — defining triggers, AI decision points, data flows, exception handling, and human-in-the-loop checkpoints for edge cases.
- 03
AI Integration
We build and integrate the automation system with your existing tools (CRM, ERP, Slack, email), train AI components on your data, and configure monitoring dashboards.
- 04
Monitor & Optimise
Post-launch, we monitor accuracy and throughput, retrain models as data drifts, and continuously add new automation use cases to grow your ROI over time.
Work we have shipped
Accountable partners, not outsourced vendors
How we price, who we staff and what happens after launch — the parts that decide whether a project actually lands.
Fixed scope, fixed price
You know the cost and the timeline before a line of code is written. No hourly billing, no scope-creep surprises.
You own everything
Full source code, credentials and intellectual property transfer to you on final payment. We sign the IP assignment on day one.
Senior engineers only
Every project is staffed by engineers with years of production experience — no juniors learning on your budget.
Canadian data residency
Built for PIPEDA and provincial privacy law, with data kept on Canadian infrastructure where it matters.
8-week MVP programme
A focused, fixed-price path from idea to a launched product, refined across dozens of startup engagements.
Support after launch
Tiered SLAs from monitoring and bug fixes to a dedicated team with 24/7 response. Most clients stay for years.
Recognition
Independent awards and partner tiers, each one earned on delivered work.
Top Generative AI Company
Top App Development Company
Webby Honoree
Best App Award, Personal Growth
Advanced Tier Services Partner
Top 100 North America
Compliance
Regulation is a design constraint here, accounted for from the first architectural decision rather than audited in at the end.
Privacy
Personal data handled to the letter of Canadian and international law.
PIPEDAGDPRHIPAACCPA
Security
Threat modelling, least-privilege access and audited controls.
SOC 2 Type IIISO 27001Zero trust
AI governance
Model evaluation, human oversight and an audit trail.
ISO 42001AIDA-readyModel cards
Sector
The regulations your industry answers to, designed in from day one.
PCI DSSHL7 / FHIROSFI
Cloud
Regional residency, encryption in transit and at rest, tenant isolation.
Canadian data residencyAWS Well-Architected
Accessibility
Built and tested so the people who need it can actually use it.
WCAG 2.2 AAAODA
Common questions
If your question is not here, a senior engineer will answer it within one working day.
Ask our teamThe best candidates are high-volume, repetitive tasks with clear rules or patterns — like data entry, invoice processing, email triage, report generation, and lead qualification. Processes that currently consume significant manual hours but don't require nuanced human judgment are ideal starting points. We conduct a process audit to rank your opportunities by ROI.
Traditional RPA follows rigid rules and breaks when interfaces or formats change. AI automation adds intelligence — it can understand unstructured data (PDFs, emails, images), make contextual decisions, handle variability, and improve over time through learning. We often combine both: RPA handles structured UI interactions while AI handles the cognitive tasks.
We design explicit exception handling into every workflow — with confidence thresholds, fallback logic, and human-in-the-loop escalation for cases where the AI is uncertain. You get a dashboard to review flagged exceptions, and we use those cases to continuously improve model accuracy over time.
Most clients see 50–80% reduction in manual processing time for automated tasks, with payback periods of 3–9 months. One document processing client reduced invoice processing costs from $12/invoice to $0.80. ROI depends on volume, current labor cost, and process complexity — we model this during the audit phase before you commit.
A focused, well-scoped automation can be live in 4–6 weeks: 1–2 weeks for process analysis and design, 2–3 weeks for development and integration, and 1 week for testing and go-live. More complex multi-system automations typically take 8–12 weeks. We prioritize getting a first win into production quickly, then expand from there.
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.