Applied AI Practice
AI and digital strategy that delivers operational results.
We help mid-market businesses improve operations through practical AI systems and digital tools. 90 days to production. 6 to 12-month payback. Built and supported in Canada.
Our approach
How we engage
From diagnostic to deployed AI in three steps.
Diagnose
Start with an OpsScan diagnostic. We map your operations, identify the highest-ROI opportunities for AI agents, and rank them with sizing and payback estimates. You get a prioritized backlog before you commit to a Sprint.
See OpsScan →Build
A Value Sprint deploys one AI system in 90 days. Fixed scope, fixed fee, measured outcome. Working software in production, not a proof of concept.
See Value Sprints →Sustain
Managed service keeps it running and adds new agents over time. Your team can take it in-house at any point. Documentation, training, and handoff are part of every Sprint.
Client work
Real work. Real businesses. Real returns.
Each of these is a Sprint we have shipped. Different sectors, different processes, same principle: AI that earns its place in the business.
Receivables Automation
Recovering aged receivables on autopilot
A Canadian claims advisory firm carried millions in active receivables across multiple categories, with inconsistent manual follow-up letting invoices age past 60, 90, and 120 days. We built an automated reminder system on top of the firm's existing case management platform with eight templated cadences keyed to invoice age and client group.
Aged invoice exposure dropped materially in the first quarter live. Collections time redeployed to higher-value work.
Document QC Agent
Catching errors before reports go out
A regulated services firm produced detailed client reports as the final output of every case file. External part-time reviewers cost roughly $50 per file for the final QC pass, and turnaround often lagged delivery deadlines. We built a Copilot-based QC agent that runs against finalized reports and surfaces grammatical, contextual, gender, and consistency issues in a side panel for the reviewer to action.
QC cost per file dropped from $50 to near zero. Reviewer time compressed to minutes.
Compliance Redaction Agent
Compliance protection that pays for itself
Case managers at a regulated services firm spent 40 minutes per file manually redacting Social Insurance Numbers and other PII from tax documents and government correspondence. The work was tedious, error-prone, and carried real PIPEDA exposure. We deployed a redaction agent that identifies and applies clean redactions automatically.
40 minutes per file recovered. Significant case-manager time redirected to client work each month, with structural reduction in PIPEDA risk.
Multi-Agent Lead Pipeline
From form fill to personalized response in minutes
A new business valuation advisory practice needed inbound form fills converted into qualified conversations within hours. We built a multi-agent pipeline: a cost-effective LLM generates a qualification summary, a more capable LLM drafts a personalized first-touch email tailored to the prospect's stated reason and timeline, and the lead routes to CRM with status flags.
Every inbound lead receives a personalized, sector-relevant response within minutes. Live and feeding the pipeline.
Month-End Close Agent
Compressing the monthly close cycle
A Canadian advisory firm closed its books monthly using a structured Excel template fed by a general ledger export. The close took several days and depended on individual knowledge of the GL data. We built an LLM-powered close template: the user pastes in the export, the model returns categorized close instructions, flag-for-review items, and draft variance notes.
Close cycle compressed materially. Junior finance staff can now run the first pass. Management reporting arrives in days instead of weeks.
Multi-Agent Intake & Routing
Right file, right person, in minutes
A Canadian advisory firm received new client referrals through a web form. Intake was a manual queue, referrals piled up overnight, and assignment depended on whichever team lead opened the form first. We built two coordinated automation flows: the first validates and tags intake fields, the second routes the referral to the right case manager based on capacity, specialization, and rules.
Time-to-first-touch dropped sharply. Workload distributes evenly. The team lead is no longer the routing bottleneck.
Procurement Intelligence Agent
A daily edge on procurement intelligence
A Canadian consulting firm responding to public-sector tenders needed to track every relevant procurement opportunity across federal, provincial, and municipal sources, plus three subscription aggregator email feeds. We built a daily intelligence brief: scrapers monitor public portals, an inbox-digest workflow extracts and de-duplicates aggregator opportunities, and an LLM compiles a single morning summary delivered before 8AM.
Leadership starts the day with a complete view of the procurement landscape in 5 minutes instead of 60. Win-rate on time-sensitive tenders improved.
Industry Intelligence Agent
Every morning briefing, automatically compiled
A Canadian legal services firm tracked case law developments, insurance advisories, and regulatory guidance across multiple publication sources. Senior staff spent time each morning manually reviewing portals and email digests, with coverage gaps and duplicated items across feeds. We built a daily intelligence agent that monitors relevant sources, extracts and de-duplicates new items overnight, and delivers a single categorized brief to leadership and technical experts each morning.
Leadership and technical experts fully briefed on all relevant developments in under 10 minutes daily. No source missed, no manual scanning required.
Every business has its own version of these. Tell us where yours hurts.
Talk to us about a Value Sprint →Most engagements start with one Sprint. Within a year, three to five AI systems run together, connected, governed, and improving on each other’s signal. Multi-site businesses standardize across locations. PE-backed companies deploy across portfolios. The pattern compounds.
Our difference
Why this practice is different
We build it. Not just diagnose it.
Every engagement ships working software, not a slide deck. Sprints close with the system live in your environment, your team trained on it, and a measured outcome verified at handoff.
Designed for payback, not pilots.
Sub-12-month return is the design constraint, not an aspiration. We will not take a Sprint we do not believe will pay back inside the year.
Canadian businesses, Canadian context.
PIPEDA, PHIPA, federal and provincial procurement, regional funding programs. All of it built into how we scope from day one. No translation layer between AI vendors and Canadian operating reality.
Who this is for
Who this is for
Owners and CEOs
Running a mid-market or SMB business and looking for AI that delivers in this fiscal year, not next. Want practical wins with measurable EBITDA impact.
COOs and Operations Leaders
Drowning in repetitive, high-volume operational work and looking for AI agents that take it off the team's plate without disrupting the systems they already use.
PE Operating Partners
Looking to deploy proven AI patterns across a portfolio. Want a delivery partner who can scope, build, and scale operational AI consistently across multiple companies.
FAQ
Common questions
Most Sprints pay back in 6 to 12 months. Some inside 90 days. Payback timing is part of the Day 0 scoping conversation, not a post-engagement surprise.
Yes. Code, workflows, prompts, integrations, and documentation are all yours. We design every system so a non-technical team can run it without us.
No. We build with maintenance in mind. We also offer a managed-service option if you would rather hand it back to us after handoff.
Start with an OpsScan. A short, fixed-fee diagnostic that maps your operations, ranks the highest-ROI opportunities, and gives you a backlog. No commitment to a Sprint required.
Yes. Designed for that. Works with QuickBooks, Xero, Microsoft 365, Monday, HubSpot, Pipedrive, Salesforce, and the ERP layers that mid-market businesses actually use.
Yes. Canada Job Grant, IRAP, regional digital adoption and innovation grants, and SR&ED in some cases. We help scope the engagement to maximize eligibility. Learn more →