Add AI to the software your business already runs on.
Bring document processing, AI search and assisted actions into your ERP, CRM, SaaS product or internal application. We assess the available interfaces, build the integration and define permissions, fallback behaviour and handover.
Build on what already works.
An existing product or internal system may only need one well-integrated capability to help its users work more effectively. No rebuild is assumed.
Document processing
Prepare structured fields from PDFs, scans and emails inside the screen staff already use, with review before anything reaches business records.
AI search and summaries
Make approved business information easier to find and review inside the existing user journey, with sources shown and permissions respected.
Assisted actions
Draft the next step, a reply, a record update or a classification, and let a person confirm it where the workflow needs that.
What an integration looks like.
Supplier PDFs into an order-management system
Internal application- Existing system
- A web-based order-management application on an older .NET stack, used by a purchasing team.
- Interface used
- The application’s existing REST API for creating draft orders, plus a mailbox webhook for incoming supplier PDFs. No change to the core system.
- Capability added
- Supplier PDFs are read, agreed fields are extracted and a draft order is created with uncertain fields highlighted.
- What changes for users
- Staff open a draft and confirm or correct it instead of typing the order from scratch. During the pilot, confirming the draft is the only way an order is created.
What we check before proposing it
Assessment questions- Interfaces
- Which APIs, webhooks, database access or exports exist, and what they permit.
- Permissions
- Who may see the source data and who may confirm a draft.
- Hosting and model
- Hosting region and model provider are chosen per project, and we confirm the combination is feasible before proposing delivery.
- Fallback
- What users see and do if the model provider is unavailable.
Supported methods and constraints.
- Integration methods
- REST and GraphQL APIs, webhooks, direct database access with scoped credentials, file drops and SFTP, message queues, and RPA where no API exists.
- Kinds of systems
- ERPs, custom internal applications, SaaS products you build for your customers, and legacy applications on older .NET, Java, PHP, classic ASP or VB.NET stacks.
- Industries
- travel, education, manufacturing, e-commerce, healthcare, consulting, startups. Systems built since 2008 include hospital, school and library management systems, travel and e-commerce platforms, Shopify stores and social media websites.
- Deployment options
- Your cloud, our managed hosting, or on-premise. Regional hosting and the model provider are chosen per project, and some combinations of region, provider and capability are not available; we confirm feasibility before proposing delivery.
- Modernisation alongside AI
- Where an older application blocks the integration, we modernise the smallest useful part: an API layer, an authentication upgrade, a migration off an unsupported runtime. Never a rewrite for its own sake.
- Working with your developers
- Your team keeps ownership of the product. We add the AI capability, the evaluation approach and documentation, pair with your developers, then hand over.
Useful software. Reviewable progress.
We agree what the capability should do, how it will be evaluated and what needs to happen before production use. Ownership, licences and handover are agreed before development starts. Bespoke code written for you is yours under the engagement agreement; third-party components keep their own licences, and infrastructure and accounts are arranged in scope.
A focused pilot can include
- Assessment of available interfaces and constraints
- Integration design and data-flow overview
- A scoped AI feature in the agreed system
- Evaluation, permissions and failure handling
- Deployment and handover documentation
Before we begin.
Does the application need to be rebuilt?
Not necessarily. We first assess whether the capability can be added through existing interfaces and a bounded change. Many integrations need no change to the core system at all.
Who owns the code and the solution?
Ownership, licences and handover are agreed before development starts. Bespoke code written for you is yours under the engagement agreement; third-party components keep their own licences, and infrastructure and accounts are arranged in scope.
What if the AI provider is unavailable?
We define fallback and failure behaviour for the workflow. That may mean a manual path, a queued retry or a clearly visible service-unavailable state, never a silent failure.
Can you add AI to our product for our customers?
Yes. A customer-facing capability is scoped with the same care as an internal one: permissions, rate limits, cost per request and fallback behaviour when the model provider is unavailable.
Do you work with our existing developers?
Yes, and we prefer it. Your developers keep ownership of the product; Blend adds the AI capability, the evaluation approach and documentation, then hands over.
Where is our data processed?
In the region and with the providers agreed in scope: your cloud, ours or on-premise. Hosting region and model provider are chosen per project, and we confirm the combination is feasible before proposing delivery.
Add one capability to the software you already trust.
Assess the interfaces first, then build the smallest useful change behind your existing permissions.