Manual work eating skilled time
Hours lost to data entry, report formatting, ticket sorting, and invoice follow-up. Predictable tasks that need no judgment but burn people who should be doing more.
AI Strategy Consulting
AI strategy that ends with a working system
Most strategy work stops at a roadmap. Taycon AI takes it through to AI agents, automation pipelines, and decision intelligence running inside your operations. The deliverable is a system that works, not a deck.
What it is
AI consulting that ends with working systems
Most engagements hand you a prioritized list, a technology recommendation, and a phased plan, then leave you to figure out the build. Taycon AI works the other way. Every engagement moves from finding the opportunity through to systems deployed in your operations.
AI agents running in your helpdesk. Automation pipelines connecting your ERP and reporting. A decision layer surfacing answers from your operational data. The output is working AI, not a presentation.
Find the opportunity
We audit your operations and pinpoint where AI removes the most manual work and produces a measurable result, not where it is theoretically interesting.
Design the system
We design the agents, pipelines, and decision models around the CRM, ERP, helpdesk, and data sources you already run. Nothing gets ripped out.
Deploy the system
We build and deploy directly into your workflows, with parallel testing before go-live. Working AI, not a prototype that never ships.
Measure the result
We track performance against the baseline from the audit. AI systems should improve over time, and we make sure yours does.
What it solves
The operational problems this addresses
Systems that don't share data
CRM, ERP, helpdesk, and warehouse running as silos. Data reconciled by hand. Reports that need exports and re-entry before anyone can decide.
Decisions slowed by reporting
Leadership waiting days for reports. Anomalies found at close instead of in real time. Forecasts built on a spreadsheet that updates once a month.
Can't scale without hiring
Ticket volume outgrowing the team. Reporting load climbing with every new system. Processes that need more people each time the business grows.
No visibility into what's working
Customer health scored on gut feel. Pipeline accuracy riding on reps updating the CRM. Performance you only see in hindsight.
AI interest, no starting point
You know AI can help but aren't sure which workflow to start with, what a realistic result looks like, or how to build the internal case. The intro call settles that.
Use cases
Where AI strategy turns into operational impact
Customer operations
Triage and resolve routine support automatically, score customer health from real usage, and keep success ahead of churn without adding headcount.
Business operations
Connect the tools you already run so multi-step processes complete on their own, with anomalies flagged in real time instead of at month end.
Finance and forecasting
Automate reporting and the close, run continuous compliance checks, and put the numbers behind a big decision in front of you when you need them.
How we deploy it
How a Taycon AI engagement runs
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 · Vancouver, BC · 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. They were winning the work, but the proposal process was 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 and finalizing 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 handles the volume increase.
- Existing systems are extended, not replaced, with clear deliverables and a defined timeline.
FAQ
Questions about AI strategy consulting
What does an AI consulting firm actually deliver?
Working AI systems, not documents. Agents that triage support tickets, pipelines that automate reporting, and decision layers that surface insights from your operational data. After the engagement ends, those systems keep running inside your operations.
How is this different from buying an AI tool?
A tool works in isolation. Consulting connects AI to the systems you already run, your CRM, ERP, helpdesk, and data, so it works inside your workflows instead of beside them. The automation fits your operation instead of forcing your operation to fit the tool.
Do we need to replace our existing systems?
No. Every Taycon AI engagement is designed around your existing stack. We integrate with the CRM, ERP, helpdesk, and data warehouse you already have, and add AI as a layer that connects and extends them, not a replacement.
What size organizations do you work with?
Small businesses, mid-market teams, and enterprise divisions. You don't have to be the owner or the decision-maker. If there's a real operational problem worth solving, the engagement is scoped to your complexity.
How long does an engagement take?
An opportunity assessment runs 1 to 2 weeks, a focused pilot 4 to 8 weeks, and a full multi-phase program 3 to 6 months. Every engagement is scoped before it begins, so you know what you're getting and when before any work starts.
How much does AI consulting cost?
Costs vary by scope. The intro call is free and produces a clear scope before any commitment. We scope honestly, and if the expected outcome doesn't justify the investment for your situation, we'll tell you before you commit.
Keep exploring
Related work
Find where AI pays off in your operations
A 20-minute call with the Taycon AI team to pressure-test where AI would actually move a number for you. No deck, no obligation, just a straight read on what's worth doing.
Book a free intro call