AI integration for SMEs
Practical AI systems for the work your business already does.
Danison Haven helps small and medium businesses review manual workflows, choose the right AI approach, and implement automations that work with existing tools.
Example — quote to invoice
Automated
Existing tools
Danison Haven layer
4 steps
Manual steps
143
Handling time
40m6m
01
Built on the tools you already pay for
02
Scoped after a workflow review, not before
03
Data, backend, AI and cloud in one team
04
Documented and handed to your team
The problem
The work that quietly costs the most is rarely on anyone's roadmap.
Most teams don’t have an AI problem. They have a set of manual steps that were never designed, copied between tools, held together by one person’s memory, and repeated every week. That is where we start.
Data re-entered by hand between systems that don't talk
The same report rebuilt from the same spreadsheets every week
Customer questions answered by hunting through documents
Approvals and handoffs chased over email threads
Quotes, invoices and records that drift out of sync
Process knowledge that lives with one person
Services
Four core services, one implementation team.
01
AI Strategy & Audit
Find the workflows where AI can save time, reduce cost, or improve customer experience.
02
AI Automation
Automate repetitive admin, document, sales, support, and reporting tasks across existing tools.
03
AI Chatbots & RAG Systems
Build assistants that answer from company documents, policies, product data, or internal knowledge.
04
Workflow Systems & Integrations
Connect CRMs, spreadsheets, email, databases, and AI tools into practical business systems.
Supporting engineering
Data Engineering
Organize, clean, transform and prepare business data so it can support reporting, automation and AI.
Backend Engineering
Secure APIs, databases, business logic and services that hold the automation together.
Cloud Engineering
Scalable deployment, monitoring and secure infrastructure so systems keep running.
How we work
Four steps from manual process to working system.
Every engagement follows the same sequence. You know what happens next, what you receive, and who owns it at the end.
Discover
Understand the business workflow, tools, documents and current pain points.
Design
Choose the right AI, data, backend and cloud approach for the job.
Build
Implement the automation, chatbot, integration or workflow system.
Hand off
Test the system, document it, and train the business team.
Engagements
Three ways to start.
Scope depends on workflow complexity, data quality, integrations and support needs. We recommend a route after the first conversation.
Starter
2–3 weeks
AI Audit
For businesses that know AI could help but need a clear starting point.
- Workflow discovery session
- AI opportunity review
- Automation priority list
- Implementation roadmap
Professional
Per project
Project Build
For one focused AI automation, chatbot, or integration delivered end to end.
- Solution design
- AI workflow build
- Testing and handoff
- Documentation
Custom
Monthly
Retainer
For teams that need ongoing AI implementation, improvement, and support.
- Monthly build capacity
- Workflow improvements
- Monitoring and support
- Roadmap planning
Why Danison Haven
Why businesses choose to work with us.
We start with the workflow, not the model
Sometimes the answer is to clarify a process before automating it. We will tell you when that is the case.
We build on the tools you already use
No stack rebuild. Your CRM, spreadsheets, email and documents stay where they are.
One team across data, backend, AI and cloud
The parts that make an AI system reliable in production are handled by the same people who designed it.
Everything is documented and handed over
You own the system, the documentation and the decisions behind it at the end of every engagement.
Tell us what you want AI to improve.
Send a short description of the workflow that causes the most friction. We reply within one business day with a view on whether an audit, an automation, or nothing at all is the right next step.