Internal copilots
Role-specific assistants for operations, sales, support, finance, and leadership workflows.
AI that fits real workflows
Move from AI interest to working systems.
Costra helps teams define, build, and govern AI tools that improve knowledge work, operations, service delivery, and reporting.
Solutions
AI systems with business context.
Every solution starts with the actual work being done, the data available, and the controls needed before launch.
Enterprise search
Search across policies, proposals, contracts, support docs, project notes, and knowledge bases.
Document intelligence
Extract, classify, summarize, and route documents such as invoices, forms, contracts, and reports.
AI workflow routing
Use AI to triage requests, recommend next steps, draft responses, and trigger structured follow-up.
Reporting assistants
Make dashboards easier to interpret with natural-language explanations and variance summaries.
Governance setup
Define usage rules, human review points, access boundaries, model evaluation, and rollout controls.
Consulting depth
From AI idea to production operating model.
Costra helps leaders decide what to build, what to avoid, and how to make AI useful inside daily work without creating uncontrolled risk.
Readiness assessment
Evaluate data quality, workflow volume, user roles, security boundaries, compliance needs, and expected value.
Solution architecture
Define how models, data sources, applications, APIs, identity, and human review fit together.
Implementation support
Prototype with real samples, integrate with existing systems, test quality, and prepare users for launch.
Measurement and governance
Track accuracy, adoption, escalation, review outcomes, and business impact after rollout.
AI delivery sequence
Assess, prototype, govern, launch.
A useful AI program needs more than a prompt. Costra evaluates data quality, workflow fit, user experience, security, and measurement before a tool is released to the team.
- Use case scoring and risk review
- Data source mapping and permission checks
- Prototype design with real samples
- Human review and escalation rules
- Model evaluation and accuracy testing
- Launch support and adoption reporting