Use-case & data assessment
Choose the task and success criteria before choosing a model. Review available documents, privacy requirements, access permissions and the consequences of an incorrect answer.
Apps & AI · TECHNO PARTICLES
Generative AI Solutions
Generative AI use cases designed around a defined task, trustworthy inputs and human review.
For businesses exploring document assistance, conversational tools, content workflows or bounded automation.
Serving businesses worldwide with a project-specific scope, estimate and support plan.
WHAT TO PLAN01 02 03
A scope built around your needs.
Use these areas to discuss deliverables, dependencies and acceptance criteria. The final scope is agreed for your project.
Workflow integration
Discuss conversational interfaces, document retrieval or generated drafts in the context of existing systems. Separate read-only assistance from actions that change records or contact customers.
Evaluation & controls
Plan realistic test examples, human review, failure handling and usage monitoring. Agree limits on access, tool actions and operating cost before a production rollout.
CHOOSE YOUR STARTING POINT
Which approach fits your project?
| Approach | When it fits | What to consider |
|---|---|---|
| Document assistant | People need help finding information in approved material. | Source access, freshness and grounded answers. |
| Drafting assistance | People review content before it is published. | Accuracy checks, tone and ownership. |
| Workflow automation | A bounded task has clear inputs and rules. | Permissions, approval steps and recovery from errors. |
CLEAR EXPECTATIONS
Plan the brief, budget and next step.
Bring these to the discussion
- A specific repetitive task and examples
- Approved source material and data restrictions
- Who reviews outputs and approves actions
- Success criteria, integrations and usage expectations
What affects cost and delivery time?
- Data preparation and access controls
- Model and retrieval requirements
- Workflow integrations and evaluations
- Ongoing model/API usage and monitoring
Share your priorities and target date. Confirm inclusions, third-party costs and ongoing responsibilities in the proposal.
PUBLISHED PORTFOLIO
All projects Explore our work.
See selected projects, then talk to us about the scope your business needs.
BEFORE YOU DECIDE
Generative AI Solutions: your questions.
Practical answers to help you prepare a useful project brief.
Should my business start with an AI chatbot or an automation?
Start with the task rather than the interface. A document assistant, drafting tool or conventional rules-based workflow may be more appropriate than a broad chatbot. Assess the available data and the cost of an incorrect output.
Can an AI system use our internal documents?
That depends on data permissions, document quality and the chosen architecture. Define who can access each source, how updates are handled and what information may leave your systems before integrating internal material.
Will AI answers always be correct?
No. Generative systems can produce incorrect or unsupported outputs. Use task-specific evaluations, source references where appropriate and human review for consequential decisions. Define how the product responds when it lacks enough information.
What costs continue after an AI feature is built?
Depending on the implementation, ongoing costs may include model/API usage, storage, retrieval infrastructure, monitoring and maintenance. Usage assumptions, limits and provider billing responsibilities should be documented.
LET’S DISCUSS THE SCOPE
Tell us what needs to work better.
Techno Particles · Working with businesses worldwide. Share your requirements, existing systems and priorities.