Description:

Identify where AI delivers measurable value and prepare your data, people, and processes to adopt it.

Includes:

• Use-case discovery and prioritization by value, feasibility, and risk
• ROI model and success KPIs defined before anything is built
• Data, infrastructure, and skills readiness review
• Build vs. buy vs. fine-tune guidance and vendor evaluation
• Honest advice when AI is not the right tool for a problem
• AI roadmap and proof-of-concept scoping

Business Value:

• Invest only in initiatives with clear returns
• KPIs leadership can track from day one
• Reduced risk of stalled pilots

Description:

Applications powered by large language models, tailored to your content, workflows, and brand.

Includes:

• Custom LLM applications and copilots
• Model-agnostic selection across commercial APIs and open-weight models, balanced for accuracy, cost, latency, and privacy
• Prompt engineering and structured outputs
• Fine-tuning on domain data where it outperforms prompting or RAG
• Private, VPC, and on-premise deployment options
• Cost and latency optimization

Business Value:

• Faster knowledge work and content production
• No lock-in to a single model vendor
• Your data stays under your control

Description:

Goal-driven AI agents that reason, use tools, and complete multi-step tasks across your systems.

Includes:

• Single and multi-agent architectures
• Tool and API integration with ERP, CRM, ticketing, and email
• Customer support, internal helpdesk, and document-processing agents
• Chatbots and conversational AI (web, Slack, Teams, WhatsApp)
• Human-in-the-loop approvals, scoped permissions, and audit trails
• Guardrails that limit what an agent can access and do

Business Value:

• Less manual effort and faster turnaround
• 24x7 availability for routine requests
• Automation with oversight and traceability

Description:

Connect AI to your documents and systems so answers are grounded in your own trusted information.

Includes:

• Ingestion, chunking, and embedding pipelines with vector databases
• Hybrid search and re-ranking for relevant results
• Connectors for SharePoint, Google Drive, wikis, and databases
• Permission-aware retrieval that respects existing access controls
• Source citations in every answer
• Retrieval-quality and answer-faithfulness evaluation

Business Value:

• Fewer hallucinations and more trustworthy answers
• Employees find information in seconds
• Sensitive content stays behind existing permissions

Description:

Custom models that turn your data into predictions, detection, and automation.

Includes:

• Forecasting, classification, and predictive analytics
• Anomaly and fraud detection
• Natural language processing
• Computer vision, OCR, and document AI
• Data labeling and training-dataset curation
• Model validation and explainability where required
• AI-powered dashboards and reporting

Business Value:

• Better decisions from your existing data
• Earlier detection of issues and risk
• Automation of visual and document-heavy tasks

Description:

The data foundation and integrations that make AI work with your real systems, not just in a demo.

Includes:

• Data pipelines, cleansing, and quality checks
• Integration with ERP, CRM, EHR, Microsoft 365, and ticketing systems
• Secure APIs with SSO and role-based access control
• Deployment on Azure, AWS, Google Cloud, or on-premise
• Scalable, production-grade architecture

Business Value:

• AI that fits your existing workflows and security
• A clean data foundation for future AI projects
• Smooth rollout without disrupting operations

Description:

Protect AI systems and the data they touch, backed by our cybersecurity practice.

Includes:

• AI risk assessments aligned with the NIST AI Risk Management Framework
• Threat modeling and testing against the OWASP Top 10 for LLM Applications (prompt injection, data leakage, excessive agency)
• AI red-teaming and adversarial testing
• PII redaction, access controls, and data-residency options
• Readiness support for ISO/IEC 42001, the EU AI Act, and privacy regulation such as PIPEDA, GDPR, and HIPAA
• Bias and fairness review with human-oversight design
• AI acceptable-use policies and staff awareness training

Business Value:

• AI you can trust with sensitive data
• Evidence ready for customers, auditors, and regulators
• Lower legal, reputational, and breach risk

Description:

Test, deploy, monitor, and improve AI systems throughout their lifecycle.

Includes:

• Automated evaluation suites for accuracy, hallucination, and safety before every release
• CI/CD with model and prompt versioning
• Observability: tracing, output quality, latency, and cost monitoring
• Drift detection and scheduled retraining
• Optional integration with our 24x7 Security Operations Monitoring
• Managed AI operations and support retainers

Business Value:

• Stable, measurable performance after launch
• Predictable AI running costs
• One accountable team from build to operations

Description:

Start small, prove value, then scale with the engagement model that fits your team.

Includes:

• AI readiness assessment or discovery workshop
• Fixed-scope pilot or proof of concept
• Project-based delivery from design to deployment
• Dedicated AI engineers and team extension
• Managed AI operations retainer
• NDA, IP, and data-ownership terms agreed upfront

Business Value:

• Low-risk entry point with a clear success measure
• Flexibility to scale up or down
• Clear ownership of what is built for you