AI that removes repetitive work, with a person still in charge
We put AI to work reading documents, drafting replies and classifying requests inside the tools you already use. It also helps with decisions that depend on your data, with human review where it matters.
What AI integration covers
Automate repetitive tasks
Take manual steps out of the processes that run your business.
Document extraction
Pull the fields your team re-types from invoices, receipts, forms and PDFs, and flag exceptions for review.
Classification and routing
Sort requests, tickets and enquiries to the right person or queue.
Drafting and summarising
First drafts of replies, reports and notes for a person to check.
Human approval steps
Anything consequential waits for a person, is logged and reversible.
Improve customer experience
Assistants, search and suggestions grounded in your own documents and data.
Internal knowledge assistants
Staff ask questions over policies, manuals and past cases, with links to the original sources.
Customer-facing assistants
Answer common questions around the clock, connected to your systems, with handover to your team when needed.
Search over your content
Find the right document, product or record by describing it.
AI features in your product
Intelligent search, content generation and recommendations inside the software you already sell.
Predict from your data
Forecasts and early warnings from the history your systems already hold, checked by your team before anyone acts on them.
Demand and stock forecasting
Anticipate shortages and plan replenishment from sales, inventory and logistics data.
Fraud and risk flagging
Suspicious transactions, likely payment delays and supplier disruptions surfaced for your team to investigate.
Predictive maintenance
Early signs of equipment failure from sensor and maintenance records, so repairs are scheduled, not forced.
Recommendations and segments
Products people are likely to want and audiences likely to respond, based on their history.
Common use cases for AI and ML development
Put AI to work on your business challenges. We build tailored solutions that automate repetitive tasks, improve customer experiences and help your team make informed decisions.
Customer support automation
Answer common questions, route requests and help customers around the clock with assistants connected to your business systems, with handover to your team when needed.
Document processing and data extraction
Extract and organise information from invoices, receipts, forms and PDFs. Reduce manual data entry, flag exceptions for review and send validated information into your systems.
Internal knowledge assistants
Help your team find answers across company documents, policies and manuals. Scattered information becomes accessible answers with links to the original sources.
Inbox triage
Enquiries classified, drafted and routed to the right person or queue, with a person approving anything that matters.
Report generation
Recurring reports assembled from your data, ready for a person to check and send.
Personalised product recommendations
Help customers discover relevant products through recommendations based on their preferences, browsing activity and purchase history.
Marketing optimisation
Identify customer segments, personalise content and predict which audiences are most likely to respond to your campaigns.
Fraud detection
Flag suspicious transactions and unusual account activity in real time, so your team can investigate potential fraud and respond faster.
Risk prediction and monitoring
Use historical data to identify likely payment delays, supplier disruptions and other business risks, so your team can prioritise action.
Predictive maintenance
Identify early signs of equipment failure from sensor and maintenance data, helping your team schedule repairs and reduce unplanned downtime.
Supply chain and inventory optimisation
Forecast demand, anticipate stock shortages and support replenishment and delivery planning using your sales, inventory and logistics data.
AI-powered product features
Add intelligent search, content generation, recommendations and task automation to your software, helping users accomplish more within your application.
What changes when it is built properly
Without Dexcode
The demo that never ships
Impressive in a meeting, abandoned after the first real edge case.
Nobody knows what it did
Actions with no log, no owner and no way to undo.
Answers with no sources
Confident replies that cannot be checked.
Another tool to learn
A separate app nobody opens.
With Dexcode
Priced before it is built
Hours saved and error cost measured first.
Logged, owned, reversible
Every action recorded; a named owner and an off switch.
Grounded in your data
Answers cite the document they came from.
Inside your existing tools
Built into the inbox, CRM or portal your team already uses.
How an AI integration project runs
The same four stages as every Dexcode project, tailored to AI work. The ranges are typical for a first project: an assistant or automation usually reaches handover in 8–14 weeks, a forecasting or risk model in 12–20. The exact plan is agreed at the end of planning.
Discover
Find the work worth automating.
- Inventory manual processes and recurring decisions with the people doing them
- Score each by hours, error rate, the data available and effort
- Choose the first process
- Ranked opportunity list
- Scope and estimate
What we build AI integration with
Chosen for longevity and hiring, not novelty. We explain any alternative where the choice matters for your project.
Frequently asked questions
By cost. We score each manual process on hours per week, error rate and effort to automate, and start with the one that saves the most with the fewest dependencies.
Ready to talk about AI integration?
Tell us what you are trying to achieve. We will say whether this is the right kind of work, what it would involve and what it would cost.