AI Deployment Strategy
Plan your AI roadmap before you commit. We help you choose what to build, what to buy, and where AI actually moves the needle for your business.
- AI readiness and use-case prioritization
- Build vs. buy vs. partner analysis
- Model selection (closed, open, custom)
- Infrastructure and cost modeling
- Vendor evaluation and risk assessment
Ethical AI Outputs
Make sure your AI does what it should — and nothing it shouldn't. We design and validate the guardrails that keep production AI accountable.
- Bias detection and fairness evaluation
- Content safety and policy enforcement
- Output validation and grounding checks
- Human-in-the-loop design
- Alignment and red-team testing
OWASP Top 10 for LLMs
LLM applications introduce a new attack surface. We design, audit, and harden against the OWASP LLM Top 10 — from prompt injection to model theft.
- Prompt injection defense
- Insecure output handling
- Training data poisoning detection
- Sensitive information disclosure controls
- Supply chain and model integrity
Workflow Automation
Build LLM-powered agents and pipelines that automate and augment business processes — from intake to triage to reporting. Custom-built for your stack, evaluated against your KPIs.
- Custom AI agents and copilots
- Document processing and extraction
- Retrieval-augmented generation (RAG)
- Process orchestration and tool use
- Evaluation and observability pipelines