Assisted content creation
Develop drafting and summarization workflows with approved context, formatting rules, and review before external use.
Intelligence in practice
Generative AI Development
Generative AI development for businesses and portfolio companies. Build document, proposal, and customer-service tools with source context and human review.
Discuss your AI project ↗From context to an accountable draft
Approved service descriptionsWhat the company offers
Discovery notesWhat the customer needs
Proposed statement of work
A structured starting point- Scope grounded in source material
- Assumptions made visible
- Commitments checked by an author
A useful draft leaves room for judgment.
Generative AI can help people turn information into drafts, explanations, and structured outputs. Blake Technologies builds those capabilities into applications where users can inspect context and review results. We define the task, provide appropriate source material, and evaluate the output against realistic cases. A fluent answer is not enough; the application needs to make unsupported or incomplete responses manageable.
Generative AI can support everyday work in service businesses, including proposal preparation, service-report drafting, and customer-response assistance. For private equity portfolio companies, reusable document or knowledge components may support several teams. We design the application around approved business information and review requirements, so generated wording does not silently become a customer commitment.
Engineer the path around generation
Grounded responses
Connect responses to relevant records and documents, with source references where the workflow requires verification.
Quality evaluation
Test omissions, incorrect claims, instruction conflicts, and response consistency alongside cost and latency.
A useful distinction
Will generated answers always be correct?
No. The design must account for mistakes and incomplete context. Source visibility, evaluation, constrained outputs, and human review can reduce risk, but they do not make every response reliable enough for every use.
Your engagement outputs
- A scoped generative feature and its application interface
- An evaluation set and documented acceptance criteria
- Prompt, context, and review configuration with operating guidance
Scope, schedule, team, and support are agreed for the engagement.