Decisions on stale data
Strategic calls made on data that's two weeks old because the reporting cycle takes that long. By the time it lands, the situation has moved.
AI Decision Intelligence
AI decision intelligence that surfaces what matters
Most teams already have the data to decide well, it is just locked in the ERP, the warehouse, and spreadsheets, and slow to extract. Taycon AI connects to your existing sources, monitors metrics continuously, and surfaces the anomalies, variances, and forecasts that need attention, before the window to act has passed.
What it is
What AI decision intelligence actually does
A decision intelligence layer connects to your existing data, monitors operational and financial metrics continuously, and delivers insight to the people who need it, without anyone building a report first.
The CFO doesn't wait on finance to run a variance. The COO doesn't ask operations for a report. With Taycon AI, the operational analytics surface on their own when something needs attention, so decisions run on current data instead of a two-week-old snapshot.
Automated variance analysis
Pull actuals from the ERP at period end, compare against plan, calculate variances across cost centers, and draft management commentary ready for review.
Anomaly detection
Continuous monitoring of operational and financial data, so unusual patterns surface with context before close, before the meeting, before the problem compounds.
Forecasting and scenarios
AI forecasting that updates as new data arrives, with scenario modeling for board reporting and planning, without the manual spreadsheet upkeep.
Automated management reporting
First-draft management reports generated from operational data, so leadership reviews and approves rather than formats and compiles. Minutes, not days.
What it solves
The decision-making problems it addresses
Variance analysis by hand
Finance teams rebuilding the same variance work every period instead of reviewing a draft and applying judgment.
Problems found at close
Anomalies discovered during the close instead of in real time, after they've already affected the numbers.
Leadership waiting on reports
Executives unable to see operational performance without asking a team to compile it first, so visibility always lags.
Forecasts on manual sheets
Planning built on spreadsheets one person maintains by hand, fragile, slow to update, and hard to trust under scrutiny.
No continuous visibility
Performance you only see in retrospect, because nothing is watching the operational and financial metrics between reports.
Where it applies
Who gets the most from it
Finance and FP&A
Automated variance, close commentary, and forecasting with predictive analytics, so the team spends its time on judgment, not assembly.
Operations
Continuous operational analytics and anomaly detection across the metrics that drive delivery, cost, and quality.
Leadership
Real-time visibility for CFOs, COOs, and operations managers who need answers without waiting on a report.
How we deploy it
How we deploy decision intelligence
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
Food and beverage distributor · Western Canada · real-time inventory intelligence
A regional distributor with six warehouses was losing margin to shrinkage, mis-picks, and supplier shortfalls that only surfaced at month-end reconciliation, by which point the window to recover had closed and replenishment ran on weeks-old data.
Taycon AI connected a decision intelligence layer to their warehouse management system and ERP, monitoring inventory levels, movement, and supplier delivery continuously and alerting with context whenever actuals drifted past a set threshold.
In the first month it flagged three supplier shortfalls and two warehouse mis-pick patterns while they were still correctable.
The payoff
The operational payoff
- Problems surface in real time, not at close, while there's still time to act.
- Report production drops from days to minutes.
- Leadership sees performance on demand instead of waiting on a report.
- Forecasts update automatically as new operational data arrives.
FAQ
Questions about AI decision intelligence
How is AI decision intelligence different from a BI dashboard?
A BI dashboard shows you what happened when you choose to look. AI decision intelligence monitors your data continuously and surfaces anomalies, variances, and insight on its own, before you know to look for them. It is proactive visibility instead of reactive reporting.
What data sources can it connect to?
ERP systems, data warehouses, CRM platforms, financial systems, operational databases, and custom internal sources. The intelligence layer sits on top of your existing data infrastructure, so there is no migration required.
How accurate is AI-generated variance analysis and commentary?
Accuracy is established during parallel testing before go-live, validated against your manual close package for a full reporting cycle. The AI produces a first draft and the finance lead reviews, edits, and approves the commentary, so people provide the final judgment.
Does it work with our existing ERP and data warehouse?
Yes. The intelligence layer connects to your existing systems rather than replacing them. We build the connection that pulls from your current data infrastructure and applies the intelligence on top of it.
Who is AI decision intelligence designed for?
It is most valuable for mid-market and enterprise teams where reporting cycles consume real staff time and leadership visibility is delayed by manual reports. Finance leads, COOs, and operations managers are the primary users.
Keep exploring
Related work
See your numbers before you have to ask
A 20-minute call with the Taycon AI team to find where delayed visibility is costing you and what continuous intelligence would change. No deck, no obligation.
Book a free intro call