Information processing
Extract, organize, and summarize information from documents, messages, and other business records.
- Document extraction and analysis
- Classification and data enrichment
- Search and summaries across records
AI implementation
AI for business process automation.
We build AI workflows that process information, carry out tasks, and connect to existing business systems. We handle development, testing, and ongoing support.
What we build
Workflow automation
Use AI to interpret incoming information and carry out tasks across connected systems, with defined permissions and approval steps.
- Request routing and prioritization
- Record updates and follow-up
- AI assistants for internal tasks
Communication
Build voice and messaging workflows that collect information, respond to requests, and pass work to staff when needed.
- Voice agents and call intake
- Responses based on business information
- Conversation summaries and handoffs
Client work
Smarter Aircraft
We built custom AI workflows into an aircraft listing management platform. They process documents, enrich listing data, and automate broker communications as part of the company’s core operations.
View the project
Integrated Clinix
We built an AI voice agent for billing call intake. It answers calls, collects patient questions, screens out spam, and prepares notes for staff to review before calling back.
Read the case studyHow a project works
Define the task
We review the process, its inputs, and what a correct result looks like. We agree on what the system can do automatically and where approval is required.
Test before committing
We test the approach on representative work, including incomplete or unusual inputs. Results, response times, and estimated operating costs determine whether it’s worth developing further.
Integrate and support
We connect the workflow to the relevant systems, test it with staff, and deploy it. After launch, we monitor failures and review changes before updating the workflow or model.
Checks, permissions, and approvals
Validate the output
We check extracted information against required fields and available records. Calculations and fixed business rules run in code. Failed checks are flagged for review.
Control access
We define which records and tools the workflow can access, what it can change, and where data can be processed. These requirements are part of the design.
Set approval steps
We agree on which actions require a person’s approval before execution. The system records actions and errors so staff can review what happened.
Common questions
Can this work with our existing software?
Often, yes. We review the available integrations, data access, and permissions during scoping. Those determine what can be automated and whether any existing tools need to change.
What does it cost?
We talk through development pricing once we understand what needs to be built. We also estimate ongoing model usage, hosting, and support costs so the decision includes the cost of running the system.
How do you choose the AI model?
We compare models on representative tasks, including difficult inputs. Accuracy, response time, operating cost, and data requirements guide the choice. Different tasks may use different models.
Can AI still make mistakes?
Yes. Testing and validation reduce errors but do not eliminate them. We define which outputs can be checked automatically, which require approval, and how exceptions reach a person. A model can also produce a plausible error without flagging uncertainty, so confidence alone is not enough.
Where does our data go?
That depends on the implementation. Before choosing a service, we review what data it receives, its retention and training terms, and the access controls required. Local processing is an option when external services are unsuitable, subject to the task and available infrastructure.
Do we need a detailed plan before contacting you?
No. A description of the process and a few examples of the work are enough to start. We can help identify what to automate, what needs human review, and whether AI is appropriate.
Malcolm 
Michael We’d love to work with you
Tell us about the process you’d like to automate. We’ll get back to you personally within one business day.
Get in touch →Or email us directly: hello@hellospark.ai