Find answers in your own information.
Help authorised teams locate relevant passages in approved documents, with source references and an opportunity to verify accuracy.
AI Integrations / Connected intelligence
Make AI useful where your work already happens.
AI is more helpful when it has the right information, fits your existing systems and knows when to hand control back to a person. We design practical integrations around how your team actually works.
Business systems · Controlled access · Human review · Measurable workflows
THE CONNECTION BLUEPRINTILLUSTRATION / NOT LIVE
01Business questionTrigger / User
02Approved data sourceDocuments / CRM
03AI-assisted draftRetrieve / Summarise
04Human approvalCheck / Release
Beyond isolated prompts
Connect the tools. Keep the judgement.
A useful AI integration starts with a real business task: finding the right document, preparing an answer, categorising a request or drafting a handover. The goal is not to insert AI into everything. It is to remove friction where the process and safeguards support it.
Use the context that already exists.
Connect suitable CRM, helpdesk or internal tools through APIs and integration platforms—subject to access, security and system capabilities.
Keep important decisions accountable.
Use validation, human checkpoints, monitoring and fallback paths where inaccurate or unexpected AI output could cause problems.
Hands-on / Interaction demo
Try the AI Integration Lab.
Choose a business scenario, control the approved information source and decide whether an action requires human review. The example shows what an integration might do—without contacting any real system.
JESSBOOST / INTEGRATION WORKBENCHSIMULATED WORKFLOW ●
01 / Choose your task
What should an assistant help the team with?
02 / Set boundaries
KNOWLEDGE / DEMO
Find the right answer, with its source.
A team member asks about a documented process. The assistant searches an authorised knowledge collection and prepares a short, verifiable response.
READY FOR HUMAN REVIEW
An authorised colleague checks the source and decides whether to share the answer.
Demonstration only. No AI model, personal data, CRM or external application is connected.
A fit-for-purpose serviceKnowledge and retrieval Application integration Workflow reliability Measurement and maintenance
Build around the task, not the hype.
We assess your inputs, existing applications, people and risk before recommending an approach. Sometimes an API integration is enough. Sometimes a retrieval system, automation platform or custom application is more appropriate. Sometimes AI is not needed at all.
Document search, source attribution, permissions and content refresh plans.
Tool connections, structured outputs, validation and safe API interactions.
Fallback paths, error monitoring, clear ownership and human escalation.
Review response quality, recurring failure patterns and suitability as processes change.
Our approach
Four steps from idea to reliable workflow.
Define the job
Identify users, success criteria, source systems and what should never be automated.
Set the boundaries
Map data access, validation requirements, approvals and failure paths before implementation.
Build and test
Connect suitable tools, test realistic scenarios and check output quality with your team.
Monitor and refine
Track recurring errors, update source material and review whether the integration remains useful.
Common questions
AI integrations, explained.
How are AI integrations different from AI chatbots?
A chatbot is one possible interface. AI integration focuses on connecting models to permitted information, business applications and controlled workflow steps—even when no chat interface exists.
Can AI use information from our CRM or company documents?
Potentially, if the systems offer suitable access and your organisation authorises it. We review permissions, data minimisation, authentication and operational requirements first.
Does the AI automatically make changes in our systems?
Not by default. Sensitive or externally visible actions can be routed through validation and human approval, with limited permissions and records of what happened.
Can it work with WordPress, n8n or Microsoft tools?
Many integrations are possible through APIs, webhooks and supported connectors. The exact approach depends on the specific website, version, licences and security requirements.
How do you handle incorrect AI output?
We design verification steps, source checks, restricted tool access and fallback routes around the task. AI can still make mistakes, so meaningful oversight remains important.
How much does a custom AI integration cost?
Scope depends on the number of systems, source quality, permissions, expected volume, testing and ongoing support. We provide a tailored proposal after understanding your requirements.
Have a workflow in mind?
Discuss an AI integration ↗Let's see where AI can actually help.
Tell us what your team is trying to accomplish, and where the information lives today.