Syncodian Technologies AI Features
AI software development
We build AI features into business software where they remove real work — asking questions of your data in plain language, forecasting demand, automating decisions and reading documents. Your data stays yours, models run under your control, and every AI feature ships with human review built in.
What we build
Most AI in business software is a chatbot bolted to a homepage. The features that actually pay for themselves are less visible: the invoice that reads itself into the ledger, the forecast that stops you overstocking, the question a manager asks in plain language instead of waiting three days for a report. We build the second kind, and we are candid about where AI is the wrong tool.
Ask your data
Natural-language questions over your own database — "which products lost margin last quarter" — returning real figures with the query shown, not a plausible-sounding guess.
Demand and revenue forecasting
Forecasts built on your history and seasonality to guide purchasing, staffing and cash planning, with the confidence range shown rather than hidden.
Document intelligence
Invoices, receipts, purchase orders and forms read automatically into structured records, with low-confidence extractions routed to a human instead of silently guessed.
Smart automation
Rules that adapt — routing, categorisation, anomaly and duplicate detection, and exception flagging that improves as it sees more of your data.
Search and retrieval
Semantic search across your documents, tickets and records, answering from your own content with citations back to the source.
Human review by design
Confidence thresholds, review queues and full audit trails so a person approves anything consequential before it takes effect.
Who this is for
- Businesses keying data from documents into systems by hand
- Operations teams overstocking or understocking on gut feel
- Managers waiting days for reports that should be a question
- Companies wanting AI benefits without sending their data to a third party
How an AI build runs
Find the expensive task
We look for the repetitive, high-volume, error-prone work first. If AI cannot beat your current process on accuracy or cost, we will say so rather than build it.
Prove on your data
A prototype runs against your real records and is measured against known-correct results, so accuracy is a number you have seen rather than a promise.
Design the failure path
What happens when the model is unsure matters more than the happy path. Thresholds, fallbacks and review queues are designed before launch.
Ship and monitor
Live accuracy is monitored, drift is detected, and the system is retuned as your data changes.
Where AI features usually sit
AI is built into the system that already holds your data, not bolted on beside it.
What it costs
We quote per project after the scoping call, because an honest number depends on scope rather than a price list. These are the factors that move it most:
- Whether existing models can be used or a custom model must be trained
- Volume and cleanliness of the data available to learn from
- Accuracy required, and the cost of an error in your context
- Whether inference must run in your own infrastructure for compliance
Engagements run as a fixed-scope project, a dedicated team on monthly contract, or an ongoing support & care plan.
Questions
Will our data be used to train someone else's model?
No. Models run under your control, and your data is never used to train anything shared. Where a third-party model is genuinely the right tool, we use configurations that exclude your data from training and tell you exactly what leaves your infrastructure.
How accurate is document extraction in practice?
It depends heavily on document quality and consistency, so we measure it on your actual documents before committing. The important design decision is not the headline accuracy figure but what happens below the confidence threshold — those go to a human review queue rather than into your ledger.
Do we need AI at all?
Often not. A well-designed form, a validation rule or a decent report solves many problems that AI is proposed for, more cheaply and more predictably. We would rather tell you that than sell you a model.
Tell us what’s slowing your business down.
A free scoping call, then a clear written plan within 48 hours — what to build, what to buy, and what to skip.
Book a scoping call