CUSTOM AI INTEGRATIONS

ADD USEFUL AI TO THE SYSTEMS YOU ALREADY USE.

Hubflow connects approved AI capabilities with existing websites, SaaS products, CRMs, databases and internal tools—without forcing your business to replace its entire technology stack.

Technical discovery. Secure data flow. Tested actions and human controls.

AI INSIDE THE EXISTING WORKFLOW

Connect the Right Model, Data and Business Action.

PRODUCT FEATURES

AI Features for Existing Products

Add assistants, semantic search, summarisation, classification or structured extraction to an existing application.

CRM & SUPPORT OPS

CRM & Help-Desk Intelligence

Use approved AI to prepare notes, categorise requests, retrieve knowledge or support routing inside existing operations.

DATA SOURCES

Document & Database Connections

Connect AI features to approved records, files or structured data with defined permissions.

API MIDDLEWARE

Custom API Middleware

Build the controlled layer that authenticates, transforms and routes information between an AI provider and business systems.

MODEL SELECTION

Model & Provider Integration

Connect a suitable approved AI provider while considering capability, cost, retention, region and technical constraints.

AUTOMATED ACTIONS

Workflow Tool Actions

Allow AI to trigger narrowly defined actions in connected systems, with validation and human approval where required.

LEGACY & SPECIALIST

Legacy & Specialist Systems

Assess custom connections where reliable APIs, exports or other technically suitable interfaces exist.

FROM USE CASE TO CONTROLLED CONNECTION

Define the Data Flow Before Writing the Integration.

STEP 01 — SCOPE

Use case defined

Identify the user, task, expected outcome and failure risk.

STEP 02 — ARCHITECTURE

Systems assessed

Review APIs, authentication, permissions, limits and data location.

STEP 03 — DATA MAPPING

Data mapped

Specify what enters the AI service and what may return.

STEP 04 — GOVERNANCE

Controls designed

Add validation, approvals, rate limits, logs and fallback behaviour.

STEP 05 — BUILD

Integration built

Connect the approved providers and business systems.

STEP 06 — VALIDATION

Testing completed

Check normal, invalid, failed and sensitive scenarios before launch.

PRACTICAL INTEGRATIONS, NOT AI FOR ITS OWN SAKE

Add Intelligence Where It Removes a Real Bottleneck.

KNOWLEDGE RETRIEVAL

Knowledge Portal Search

Knowledge search inside an existing portal, documentation hub or internal team wiki.

SUPPORT OPERATIONS

Support-Ticket Intelligence

Support-ticket classification and response drafting inside existing help desks.

CRM UPDATES

CRM Note Summarisation

CRM note summarisation and structured field updates from customer touchpoints.

DATA INGESTION

Document Extraction

Document extraction into a business system with automated verification rules.

REPORT DRAFTING

Report & Proposal Prep

AI-assisted report or proposal preparation grounded in verified business records.

CATALOGUE ENRICHMENT

Product Content Tagging

Product content tagging and automated metadata enrichment across inventory systems.

OPERATIONAL ROUTING

Internal Request Routing

Classify and route internal team requests to the correct owner or queue based on intent.

HUMAN-IN-THE-LOOP

Human-Reviewed Logic

Generate actionable suggestions and recommendations paired with human review queues.

SAAS ENHANCEMENT

Existing SaaS Features

Native AI feature enhancements integrated directly into existing web apps and customer portals.

Scope Note: The service integrates AI into an existing system. Complete new products belong under AI Web Apps & SaaS Development.

BUILT FOR BUSINESSES WITH AN EXISTING STACK

A Strong Fit When the Software Works—but a Workflow Still Needs Intelligence.

SAAS PRODUCTS

SaaS Companies

Add a focused AI feature without rebuilding the entire product.

AGENCIES & SERVICES

Agencies & Service Businesses

Connect AI to existing client, content or operational systems.

OPERATIONS

Operations Teams

Reduce interpretation and handoff work between established business tools.

PRODUCT & TECH

Product & Technical Teams

Use Hubflow for a defined integration when internal resources are focused elsewhere.

SUITABILITY CRITERIA

A Strong Fit When:

  • The specific AI use case is clearly defined
  • Target business systems offer suitable API or webhook access
  • Data permissions, governance and privacy boundaries are clear
  • Success criteria and output quality can be reliably tested

Not a Fit When: No reliable interface exists, the client cannot authorise data access or the request requires unreviewed high-impact decisions.

MINIMUM ACCESS, CLEAR CONTROL

Integrate Only the Data and Actions the Use Case Requires.

We map the proposed information flow, provider roles, permissions, retention, logs and failure paths before production release.

CREDENTIALS & SECRETS

Least-Privilege & Server Secrets

Deploy server-side credential vaults, scoped API tokens and strict least-privilege access rules without exposing raw keys.

INPUT & RATE LIMITS

Validation & Rate Controls

Strict schema validation, input sanitization and rate limits to protect endpoints against quota depletion and malformed payloads.

MONITORING & LOGS

Activity Logs & Retry Rules

Full execution logging, audit trails, resilient failure handling and intelligent retry mechanisms for downstream system calls.

GOVERNANCE & RETENTION

Human Approval & Retention Policies

Routing sensitive or high-impact actions through human review queues while enforcing provider-specific data retention controls.

Responsibility Notice: The client remains responsible for lawful data use, source-system security, user notices and approval of high-impact actions. Hubflow does not claim that an integration eliminates all security, privacy or availability risk.

DISCOVER, CONNECT, TEST

A Technical Integration With Business Acceptance.

STAGE 01

Discovery

Review the use case, systems, API documentation, data and risk.

STAGE 02

Solution design

Define architecture, provider, controls, milestones and exclusions.

STAGE 03

Prototype

Validate the highest-risk connection or AI capability where appropriate.

STAGE 04

Build

Implement authentication, transformation, AI processing and system actions.

STAGE 05

Test

Evaluate outputs, errors, permissions, limits and fallback handling.

STAGE 06

Launch & support

Deploy the approved integration and provide agreed monitoring or handover.

CLIENT RESPONSIBILITY

You Provide

System ownership, API access, documentation, lawful data, reviewers and timely technical decisions.

DELIVERY & EXECUTION

Hubflow Handles

Integration design, implementation, supported AI configuration, testing, launch and agreed maintenance.

PRICED AROUND TECHNICAL SCOPE

Confirm Feasibility Before Committing to the Full Build.

DISCOVERY & FEASIBILITY

Technical Discovery — From £500

Use-case review, system and API assessment, data-flow outline, risks and implementation recommendation. The fee may be partly credited where stated in a subsequent proposal.

CORE INTEGRATION

Custom AI Integration — From £2,500

One focused production integration with approved AI processing, core controls, testing and launch support.

ENTERPRISE & MULTI-SYSTEM

Advanced Integration — From £5,000

Multiple systems, complex permissions, higher-risk data flows, custom middleware, deeper testing or significant product changes.

MONTHLY RETAINER

Ongoing Management — From £500/Month

Technical monitoring, provider or API checks, agreed rule changes and minor maintenance.

Pricing Clarification: Hosting, model usage, API charges, automation platforms and third-party subscriptions are separate. Final pricing depends on API quality, systems, data, security and testing requirements.

FREQUENTLY ASKED QUESTIONS

Clear Answers on Custom AI Integrations.

What is the difference between this and workflow automation?

Workflow automation connects predictable rules and system events. Custom AI Integrations add interpretation, retrieval or generation to an existing product or process.

What is the difference from AI Web Apps & SaaS Development?

This service adds AI to an existing system. The SaaS service designs and builds a complete new application or product.

Can you integrate any software?

No. The system must provide a suitable API, export, database interface or another lawful and technically reliable connection.

Can we choose the AI provider?

Yes, subject to technical fit, availability, data requirements and the project scope.

Will our data train public AI models?

That depends on the selected provider, product tier, settings and contract. We review the intended configuration before production use and document relevant assumptions.

What happens if a third-party API changes?

The integration may need maintenance or redevelopment. Ongoing support and change handling are defined in the proposal.

Can you guarantee the AI output?

No. We can add grounding, validation and human review, but AI outputs can still be incomplete or inaccurate.

START YOUR INTEGRATION REVIEW

Let’s Review Your Custom AI Integration.

Tell us which systems you need to connect and what the integration should accomplish. We’ll review the workflow, available APIs and technical feasibility before recommending the right solution.

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Connect AI to an Existing Business System
Connect Multiple Applications
Custom API Integration
Automated Data Synchronisation
Add AI Features to Existing Software
Repair or Improve an Existing Integration
Not sure—recommend the right solution
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Please do not include passwords, API keys, access tokens, private documentation or sensitive customer information.