Manual workflows consuming skilled staff time
Hours on data entry, report formatting, ticket sorting, and invoice follow-up: predictable tasks that need no judgment but consume people who should be doing higher-value work.
LocationsAI consulting across
AI consulting across
North America
Taycon AI deploys AI agents, workflow automation, and decision intelligence for organizations across Canada and the United States. Based in Vancouver, working fully remote, in the time zone that fits your team.
Cities we work in
Select your city
Each engagement runs in the time zone that fits your team, with on-site kickoff available case by case. Local industry context, the same deployment-first approach everywhere.
BC, Canada
AI consulting Vancouver
Pacific TimeON, CanadaAI consulting Toronto
Eastern TimeAB, CanadaAI consulting Calgary
Mountain TimeQC, CanadaAI consulting Montreal
Eastern TimeWA, USAAI consulting Seattle
Pacific TimeCA, USAAI consulting San Francisco
Pacific TimeNY, USAAI consulting New York
Eastern TimeIL, USAAI consulting Chicago
Central TimeMA, USAAI consulting Boston
Eastern TimeTX, USAAI consulting Austin
Central TimeWhat it solves
The operational problems AI consulting addresses
Disconnected systems that don't share data
CRM, ERP, helpdesk, and warehouse running as silos, reconciled by hand, with reports that need exports, formatting, and re-entry before anyone can decide.
Decisions slowed by manual reporting
Leadership waiting days on compiled reports. Anomalies found at close instead of in real time. Forecasting built on spreadsheets updated once a month.
Operations that can't scale without headcount
Ticket volume growing faster than the team, reporting workload rising with every new system, processes that need more people every time the business grows.
No visibility into what's working
Customer health scored on gut feel. Pipeline accuracy dependent on reps updating the CRM. Operational performance visible only in retrospect.
AI investment with no clear starting point
You know AI can help but aren't sure which workflow to start with, what realistic outcomes look like, or how to build the internal case.
Where it applies
Where AI creates operational impact
Small business · Mid-market
Customer operations
Support automation, CRM intelligence, and predictive success. Triage agents classify and route tickets, enrichment agents update records from call transcripts, and churn models surface at-risk accounts before renewal.
Explore →Mid-market · EnterpriseBusiness operations
Reporting pipelines, process automation, and anomaly detection. Monthly reports that took three days become same-day, cross-system pipelines remove manual exports, and anomalies surface automatically.
Explore →Mid-market · EnterpriseFinance
Close automation, variance analysis, forecasting, and compliance monitoring. A 12-day quarterly close compresses, variance is generated from ERP actuals, and anomalies surface during the period, not after.
Explore →How we deploy it
The Taycon AI engagement framework
Discover
We map the workflow, every manual step, system, and handoff, and pinpoint where AI creates the most measurable impact, before a line of code is written.
Architect
We design the AI models, data flows, integration points, and the human oversight model. You review and approve the architecture before we build.
Deploy
We build and integrate directly into your tools, with parallel testing against real data before go-live, so there's no disruption to live work.
Measure
We track performance against the baseline from Discovery and refine on real output and feedback until it's running at full effectiveness.
Client engagement
A recent client engagement
Professional services firm · 120 staff · AI strategy engagement
A 120-person management consulting firm was producing 40 to 60 proposals a month, each taking a senior consultant two to three days to research, draft, and format, eating capacity that should have gone to billable client delivery.
Taycon AI started with a two-week discovery audit, mapped the full proposal workflow, and built automation that drafts and formats proposals from the firm's own content and prior wins, with consultants reviewing rather than starting from a blank page.
Proposal drafting dropped from days to hours, and senior consultants got that capacity back for client work.
The payoff
The operational payoff
- Manual workflows are eliminated, not incrementally improved, freeing skilled staff for higher-value work.
- Decisions speed up as operational data surfaces automatically instead of through weekly report requests.
- Operations scale without adding headcount, because AI absorbs the volume.
- Existing systems are extended, not replaced, with clear deliverables and a defined timeline.
Find where AI pays off
A 20-minute call to see how we can help and find the right starting point. No deck, no obligation.
Book a free intro call