Customer research
Bring approved CRM context and internal documents into one research workflow.
Services · 02 Connect your tools
Less copying. Fewer disconnected handoffs.
Useful AI needs the right information and the right access. We connect your existing systems and define exactly what each workflow can read and change.
Illustrative workflow
Bring approved customer context from your CRM and internal documents into one repeatable research workflow.
The exact implementation depends on your tools, access, constraints, and definition of success.
What we work on
Deliverables you
can hold us to.
- 01
Integration and data-flow map
- 02
Connector or API configuration
- 03
Scoped access and credential handling
- 04
Documented failure and handoff paths
A good fit when
You’ll recognise
the problem.
- Answers depend on information spread across your CRM, inbox and documents.
- People copy the same information between tools by hand.
- Access needs to be scoped, logged and easy to revoke.
Examples
Where it shows up.
Illustrative workflow patterns, not results from a specific customer.
Inbox triage
Sort incoming requests using context from the systems that already hold it.
Status roll-ups
Combine updates from several tools into one brief for the person who decides.
How it runs
Start with the operation.
We map the work, establish the boundaries, and choose the smallest useful implementation.
- 01 / Map
The trigger, the context, the handoffs and the owner.
- 02 / Bound
What the workflow may read, change and must escalate.
- 03 / Implement
The smallest configuration, connection or build that works.
- 04 / Measure
Completed work, review effort, exceptions and cost.
What you leave with
Something your
team can run.
Every engagement ends with a handoff, not a dependency.
- A map of which system holds which information
- Configured connectors or API integrations
- A permission model with scoped, revocable access
- Documented failure paths and who gets alerted
Operations
Document intake and review
Pull the fields out of incoming documents, check them against your rules, and route only the exceptions to a person.
See the workflow OperationsThe weekly status brief
Gather updates from approved tools, draft the brief, and flag the items that need a decision.
See the workflow FinanceVendor contract and renewal review
Extract key terms and renewal dates from vendor contracts, flag unusual clauses for review, and make sure no renewal passes unnoticed.
See the workflowStop re-keying data between systemsA four-step playbook to connect two business systems so information entered once reaches the other automatically, with a clear owner and a way to catch errors.4 stepsPrepare your documents for an AI assistantA four-step playbook to get policies, procedures and product documents ready for an AI assistant, so its answers are current, sourced and limited to what each person may see.4 stepsConnect your CRM to the tools around itA four-step playbook to connect your CRM with forms, email, calendar and billing so records stay current without people copying data between systems.4 steps
Direct answers
Questions buyers ask first.
How should a company prepare its data before using AI?Prepare only the data one priority workflow needs: find where it lives, decide who may access it, clean the fields that workflow relies on, and name an owner who keeps it current. Company-wide data projects before a first use case usually stall.What is retrieval-augmented generation, and when does a business need it?Retrieval-augmented generation (RAG) is a pattern where an AI system first looks up relevant passages from a company’s own approved documents, then writes its answer from those passages and can show the source. A business needs it when answers must reflect its own policies, products or records rather than general knowledge.Should a workflow be automated with a no-code tool or custom software?Use a no-code or low-code automation tool when the workflow connects systems that already have integrations and the logic is simple enough to read on one screen; build custom software when the workflow needs complex rules, heavy volume, strict security or a user interface no tool provides.
Questions
Common questions.
Do we need an API?
Not always. Many tools offer connectors. Where they do not, an API integration or a small service can fill the gap.
Who can see what?
Each workflow gets the narrowest access it needs, documented and revocable. Credentials stay in approved secret storage.
What happens when a system is down?
We define the failure path up front: retry, pause, or hand the task to a person with the context attached.
Related
Other ways in.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Connect your tools"
description: "Useful AI needs the right information and the right access. We connect your existing systems and define exactly what each workflow can read and change."
url: https://lidvizion.ai/services/integrations/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Services](https://lidvizion.ai/services/) · 02 Connect your tools
# Less copying. Fewer disconnected handoffs.
Useful AI needs the right information and the right access. We connect your existing systems and define exactly what each workflow can read and change.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [All services](https://lidvizion.ai/services/)
Illustrative workflow
Bring approved customer context from your CRM and internal documents into one repeatable research workflow.
The exact implementation depends on your tools, access, constraints, and definition of success.
What we work on
## Deliverables you can hold us to.
1. Integration and data-flow map
2. Connector or API configuration
3. Scoped access and credential handling
4. Documented failure and handoff paths
A good fit when
## You’ll recognise the problem.
- Answers depend on information spread across your CRM, inbox and documents.
- People copy the same information between tools by hand.
- Access needs to be scoped, logged and easy to revoke.
Examples
## Where it shows up.
Illustrative workflow patterns, not results from a specific customer.
Connect your tools
### Customer research
Bring approved CRM context and internal documents into one research workflow.
Connect your tools
### Inbox triage
Sort incoming requests using context from the systems that already hold it.
Connect your tools
### Status roll-ups
Combine updates from several tools into one brief for the person who decides.
How it runs
## Start with the operation.
We map the work, establish the boundaries, and choose the smallest useful implementation.
1. 01 / Map
The trigger, the context, the handoffs and the owner.
2. 02 / Bound
What the workflow may read, change and must escalate.
3. 03 / Implement
The smallest configuration, connection or build that works.
4. 04 / Measure
Completed work, review effort, exceptions and cost.
What you leave with
## Something your team can run.
Every engagement ends with a handoff, not a dependency.
- A map of which system holds which information
- Configured connectors or API integrations
- A permission model with scoped, revocable access
- Documented failure paths and who gets alerted
Use cases
## Where teams start.
Illustrative workflow patterns for this service.
[All use cases](https://lidvizion.ai/use-cases/)
- [Document intake and review](https://lidvizion.ai/use-cases/document-intake-review/): Operations Pull the fields out of incoming documents, check them against your rules, and route only the exceptions to a person.
- [The weekly status brief](https://lidvizion.ai/use-cases/weekly-status-brief/): Operations Gather updates from approved tools, draft the brief, and flag the items that need a decision.
- [Vendor contract and renewal review](https://lidvizion.ai/use-cases/vendor-contract-review/): Finance Extract key terms and renewal dates from vendor contracts, flag unusual clauses for review, and make sure no renewal passes unnoticed.
Field guides
## Run it yourself first.
Free, ungated playbooks for this kind of work.
[All guides](https://lidvizion.ai/guides/)
- [Stop re-keying data between systems](https://lidvizion.ai/guides/stop-re-keying-data-between-systems/): A four-step playbook to connect two business systems so information entered once reaches the other automatically, with a clear owner and a way to catch errors.
- [Prepare your documents for an AI assistant](https://lidvizion.ai/guides/prepare-your-documents-for-an-ai-assistant/): A four-step playbook to get policies, procedures and product documents ready for an AI assistant, so its answers are current, sourced and limited to what each person may see.
- [Connect your CRM to the tools around it](https://lidvizion.ai/guides/connect-your-crm-to-the-tools-around-it/): A four-step playbook to connect your CRM with forms, email, calendar and billing so records stay current without people copying data between systems.
Direct answers
## Questions buyers ask first.
[All answers](https://lidvizion.ai/answers/)
- [How should a company prepare its data before using AI?](https://lidvizion.ai/answers/how-to-prepare-company-data-for-ai/): Prepare only the data one priority workflow needs: find where it lives, decide who may access it, clean the fields that workflow relies on, and name an owner who keeps it current. Company-wide data projects before a first use case usually stall.
- [What is retrieval-augmented generation, and when does a business need it?](https://lidvizion.ai/answers/what-is-retrieval-augmented-generation/): Retrieval-augmented generation (RAG) is a pattern where an AI system first looks up relevant passages from a company’s own approved documents, then writes its answer from those passages and can show the source. A business needs it when answers must reflect its own policies, products or records rather than general knowledge.
- [Should a workflow be automated with a no-code tool or custom software?](https://lidvizion.ai/answers/no-code-automation-vs-custom-software/): Use a no-code or low-code automation tool when the workflow connects systems that already have integrations and the logic is simple enough to read on one screen; build custom software when the workflow needs complex rules, heavy volume, strict security or a user interface no tool provides.
Questions
## Common questions.
### Do we need an API?
Not always. Many tools offer connectors. Where they do not, an API integration or a small service can fill the gap.
### Who can see what?
Each workflow gets the narrowest access it needs, documented and revocable. Credentials stay in approved secret storage.
### What happens when a system is down?
We define the failure path up front: retry, pause, or hand the task to a person with the context attached.
Related
## Other ways in.
[See all services](https://lidvizion.ai/services/)
- [Configure your AI](https://lidvizion.ai/services/ai-setup/): Turn individual AI use into a repeatable way of working.
- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Build the missing piece](https://lidvizion.ai/services/custom-software/): Custom tools and applications for the gaps that matter.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)