AI integration services for your CRM, ERP and databases
Keep the software you already run. We connect AI to your CRM, ERP, databases and messaging channels so it can read, decide and update without anyone copying data across.
Free call. Honest advice, even if the answer is “you don’t need AI for this”.
- CRM
- ERP
- REST APIs
- Databases
The basics
What is AI integration?
AI integration means connecting AI capabilities to the software your business already uses. Agentiq BD integrates AI with CRMs, ERPs, databases, spreadsheets and messaging channels through their APIs, so you add capability without replacing your stack.
- CRM
- ERP
- REST APIs
- Databases
In plain words
Your systems are like departments that never talk to each other. Integration gives them a secure line between them. AI sits on that line: it reads from one system, makes sense of the data and writes the result into another, within strict permissions.
Key terms
- API
- A defined way for one piece of software to read from or write to another.
- Two-way sync
- Keeping the same data up to date in two systems, whichever side changes it.
- Audit log
- A record of every automated change: what changed, when, and what made the change.
How it works
From request to result, step by step.
- 01
Review your stack
We list your systems, the data each one holds and the access they allow through APIs or exports.
- 02
Design the connections
We decide what flows where, in which direction, and who or what is allowed to trigger it.
- 03
Build with safeguards
Every connection gets authentication, permissions, error handling and logging.
- 04
Document and hand over
You get documentation for each connection, so your team can maintain and extend it.
Pick a business · watch the systems talk
Online store
POS
Website forms
Integration layer
Reviewing your stack
ERP · Inventory
CRM
Sync log
No events yet · connections being set up
- 01
Review your stack
- 02
Design the connections
- 03
Build with safeguards
- 04
Document and hand over
Sound familiar?
What changes when it is in place.
The everyday problems this service is built to remove, and what the same work looks like afterwards.
Today
With AI Integration Services
Today: Teams export from one system to import into another
Afterwards: Data stays in sync between systems automatically
Today: AI tools sit outside your workflow, working on copied data
Afterwards: AI works inside your systems, on current data
Today: Every new idea seems to need a new platform
Afterwards: New capability added to the software you already use
Today: Nobody knows what changed a record, or when
Afterwards: Every automated change is logged
What you get
What we build for you.
Every project is scoped to your process, so the exact list is agreed in discovery. These are the pieces we typically deliver.
- 01
AI features added inside your existing product or internal tools
- 02
Two-way sync between AI workflows and your CRM or ERP
- 03
Connections to databases, spreadsheets and messaging channels
- 04
Authentication, permissions and logging around every connection
- 05
Documentation so your team can maintain what we build
Included in every build
Scoped permissions
Each part of the system gets only the access it needs.
Testing for failure cases
We test what happens when inputs are wrong, missing or unexpected.
Monitoring
You can see that it is running, and we are alerted when it is not.
Documentation & handover
Written down so your team understands and can maintain it.
Support after launch
The support plan is agreed with you before we start.
Use cases
Where it fits in.
Example scenarios to show how this works in practice. Yours will be shaped around your own process.
Sales
ExampleAI inside the CRM
New leads are summarised, tagged and scored inside the CRM your team already works in.
Operations
ExampleERP data in customer chat
Order status from the ERP is available to your WhatsApp assistant, so customers get current answers.
Product teams
ExampleAI features in your app
Search, summaries or drafting added to your existing application through a secure API layer.
Is it right for you?
An honest fit check.
We would rather tell you now than sell you something you do not need.
A good fit for
- Businesses with working software that needs an AI layer, not a rebuild
- Teams stuck exporting data from one system to import into another
- Product teams adding AI features to an existing application
Probably not yet if
- The system you want to connect has no API or export at all (we check this in discovery)
- The existing system is failing and needs replacing, not connecting
Not sure which side you are on? That is exactly what the discovery call is for.
Talk it through with the engineer who would build it.
Tell us how the work runs in your business today, and we will tell you what is worth doing first.
How we work with you
Three steps, and you approve the plan first.
01Discovery
We listen first.
A conversation about the problem and the workflow behind it. We ask questions, look at how you work today, and tell you honestly whether AI, automation or plain software is the right fit.
A clear view of what is worth building.
02Plan
We agree the plan.
We propose the architecture, the integrations and the risks, often starting with a working prototype of the core workflow. You see a clear estimate before anything is built.
A scoped plan and estimate you have approved.
03Build & support
We build, we stay.
The system is built and tested for accuracy, permissions and failure cases, then deployed with access control and monitoring. Support after launch is agreed with you up front.
A system in daily use, with support in place.
FAQ
Common questions
Have a question about AI integration services that is not here?
Ask us on WhatsAppCan you integrate with our existing software?
Usually, yes, if it exposes an API or a standard export. What is straightforward and what needs custom work is something we confirm during discovery, before you commit.
Do we have to change how our team works?
Not by default. The point is that your team keeps its tools and the AI connects to them.
Who maintains the integration afterwards?
Support after go-live is part of how we work, and the scope is agreed with you as part of the project, along with documentation and monitoring.
How do pricing and project timelines work?
Each package lists a starting price and a typical timeline, for example AI & Workflow Automation from $500 in 1–4 weeks. The exact price depends on integrations and complexity, so after a discovery conversation we send a fixed scope and quote for you to approve before work starts. Not sure where to begin? The 48-Hour AI Business Audit is free.
Do you provide ongoing maintenance?
Yes. Support and improvement after go-live are part of how we work, and the scope is agreed with you as part of the project: documentation, training, monitoring and a support plan.
Next step
Ready to talk about AI integration services?
Book a free discovery call. We will look at how the work runs today and tell you honestly what is worth building first.
Prefer a fixed scope and price? See AI Commerce Launch ($800–$3,000) or See Custom Software & SaaS MVP ($1,500–$8,000+) or See AI & Workflow Automation ($500–$2,500)
Not sure where to start? Ask for an AI Business Audit or email sales@agentiqbd.com