AI Training & Consulting

How it works.

The system, step by step — each stage is an agent or service with a clear job and a hand-off to the next.

01 · Workflow Audit

We map your operational DNA to identify repetitive cognitive tasks suitable for LLM offloading.

02 · Tool Selection

Navigating the chaos of 5,000+ AI tools to select the secure, enterprise-ready stack for your specific needs.

03 · Custom Workshops

Role-specific training: 'Prompt Engineering for Legal', 'Generative Design for Creative', 'Coding with Co-Pilot'.

04 · Governance Playbook

Establishing strict data privacy (PII) protocols and usage guidelines to prevent IP leakage.

Built for production, owned by you.

Proven frameworks, not thin wrappers. Open any capability for the technique, the stack and an implementation sketch.

Prompt Engineering Labs

Advanced techniques (Chain-of-Thought, Tree-of-Thoughts) to extract expert-level output from models.

Advanced Prompt Architecture — Technique: Meta-Prompting & Few-Shot Learning

Most users get 10% of an LLM's value. We teach your team 'System 2' prompting strategies. We build internal Prompt Libraries using variables and delimiters to ensure consistent output. We cover Chain-of-Thought (CoT) for reasoning and ReAct (Reason+Act) patterns for tool use.

Stack: PromptBase, LangSmith, OpenAI Playground, Anthropic Workbench

Security & Compliance

SOC2 compliant AI usage policies and 'Human-in-the-Loop' safety architecture.

AI Governance Framework — Technique: PII Redaction & Private VPC Deployment

We implement middleware that sits between your employees and public LLMs (ChatGPT). This layer automatically detects and redacts PII (Personally Identifiable Information) via regex and NER (Named Entity Recognition) before the data leaves your perimeter. We also set up audit logging for all AI interactions.

Stack: Microsoft Presidio, PrivateGPT, Azure OpenAI, CloudWatch

Opportunity Mapping

Quantifying ROI for AI implementations before writing a single line of code.

Predictive ROI Modeling — Technique: Process Mining & Task Decomposition

We don't guess; we calculate. We decompose job roles into individual tasks (e.g., 'Drafting Email', 'Analyzing Excel'). We score each task by 'AI Exposure' and 'Labor Cost'. This generates a heat map of your organization, highlighting exactly where to deploy automation for maximum financial impact.

Stack: Celonis, PowerBI, Python Pandas, Workforce Analytics

Executive Briefings

High-level strategy sessions for C-Suite on the impact of AGI and agentic futures.

Leadership strategy sessions — Technique: Scenario planning and competitive analysis

We prepare your leadership for the 'Post-AI' economy. We run scenario sessions: 'If your competitor automates X, what happens to your margin?' We deliver a 3-year AI Roadmap aligning technology investment with business goals (EBITDA, Market Share).

Stack: McKinsey Horizons, Wardley Mapping, SWOT 2.0, Strategic Radar

Typical stack: Corporate LMS, Azure OpenAI, Governance Frameworks, Change Management

From experiment to production.

We scope it on your stack, ship a measured first system, and run it against a baseline you can read.