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Custom Application AI Integration

No Off-the-Shelf Connector for Your App? We Build One

Every business ends up with at least one system that nobody makes a connector for: an old order-entry tool, a machine controller, an internal portal built years ago.

  • AnyCustom or legacy application
  • 2-wayData flow, where needed
  • 6-10 wkTo a first working connection
  • FlaggedUncertain mappings, not guessed

Why It Matters

The app that never got a connector is still running your business

Built for Your Specific System

Not a template, an integration built around what you actually have. Off-the-shelf connectors assume a standard system on the other end.

  • Built around your application's real structure and behaviour.
  • No assumption that it matches a standard system.
  • Works even where documentation is missing or outdated.

Where a fixed mapping breaks, AI still finds the match

Two systems built years apart rarely name things the same way. AI matches records by meaning rather than exact text, handles free-text fields a rigid mapping cannot parse, and flags anything it is not confident about instead of posting a wrong guess.

  • Matching by meaning, not just exact field names.
  • Free-text fields interpreted, not just rejected.
  • Low-confidence mappings flagged for a person to confirm.

We study what the application actually does

Rather than relying on documentation that may be outdated or missing entirely, we observe the application's real behaviour, its data structures and its access points directly.

  • Real behaviour observed, not assumed from documentation.
  • Data structures mapped as they actually exist today.
  • A grounded specification for the integration to build against.

Records matched by what they represent, not their label

Two systems built years apart almost never use the same field names or codes for the same thing. The matching considers what a field actually represents, using several signals together, so it can bridge naming differences that a simple lookup table never would.

  • Multiple signals used together, not a single field name.
  • Bridges naming differences between disconnected systems.
  • Confident matches applied automatically, others flagged.

Whatever access the application actually offers

An API is the ideal route, but not every custom application has one. Where it does not, we build against a database connection, a file export routine, or a lightweight interface layer designed specifically for that system, so the absence of an API is not a dead end.

  • API connection used where one exists.
  • Database or file-based methods used where it does not.
  • A method chosen to fit the application, not a fixed assumption.

The kinds of custom systems we connect most often

  • Legacy in-house tools

    Older internal systems built years ago, still running a process nobody has replaced.

  • Machine and equipment controllers

    Proprietary output logs and data feeds from production or lab equipment.

  • Bespoke portals

    Customer or vendor portals built specifically for your business, connected to your ERP.

  • Industry-specific software

    Specialist tools common in your industry that have no mainstream ERP connector.

  • Two custom systems, connected

    Bridging two bespoke applications that currently exchange data manually or not at all.

  • File-based exchanges

    Turning an existing file export or import routine into a reliable automated flow.

From an isolated system to a connected one

  1. Map the application

    We study your application's actual behaviour, data structure and access points directly.

  2. Define the data flow

    We agree what should move between the two systems, and in which direction.

  3. Build the AI translation layer

    We build the matching and extraction logic that bridges the two systems' structures.

  4. Test with real data

    We test against real records from both systems before anything runs live.

  5. Go live and monitor

    The connection runs live with a review path for flagged cases, refined over time.

What connecting a custom application changes

  • 0

    Manual data transfer between systems

  • Accurate

    Mapping across mismatched structures

  • Flagged

    Uncertain matches, not guessed

  • Extended

    Life for a system worth keeping

  • Faster

    Data reaching your ERP

  • Documented

    Behaviour, often for the first time

Why teams choose TCB Infotech for custom application integration

  • We know the ERP side too

    We build ERP systems, so the integration respects how your ERP actually validates data.

  • Comfortable with undocumented systems

    We map real behaviour directly rather than relying on documentation that may not exist.

  • Flags, never guesses

    Uncertain mappings are shown for confirmation, not silently resolved and risked.

  • Tested on real data

    The integration is proven against real records from both systems before going live.

  • Model-agnostic build

    We choose the approach that fits your data and hosting rules, with no lock-in.

Custom application AI integration questions

What counts as a custom application here?

Any internal tool, legacy system or bespoke software your business runs that does not have an off-the-shelf connector to your ERP, such as an old order-entry tool, a proprietary machine controller, or an internally built portal.

Does the custom application need an existing API?

Ideally yes, but not always. If it has an API or a database we can query, that is the fastest route. If it does not, we assess other options such as a file-based exchange or a lightweight interface layer built specifically for the connection.

Where does AI fit into a custom integration?

AI handles the translation work that a fixed mapping cannot: interpreting free-text fields, matching records that are named differently in each system, and flagging data that does not clearly map across, so a person confirms it instead of a wrong guess being posted.

Can this connect two custom applications to each other, not just to an ERP?

Yes. The same approach works for connecting any two systems, whether one of them is your ERP or both are bespoke applications that currently do not talk to each other at all.

How do you handle an application with poor or no documentation?

We start by mapping the application's actual behaviour and data structure directly, since documentation is often missing or outdated for older custom systems. This adds time upfront but avoids building on wrong assumptions.

How long does a first integration take?

It varies more than for standard platforms, since every custom application is different. A first working connection typically takes six to ten weeks, and we scope this properly before committing to a timeline.

Related

The other services in this section, and related pages from TCB Infotech.

Connect the System Nobody Else Would Touch

No commitment. A practical look at your custom system.