From First Question to Fully Observable AI
Stop scattered experiments. Our 3-phase consulting framework takes your organization from AI curiosity to measurable business results -- with quality, observability, and governance built in from day one.
Backed by production AI systems in quality-critical environments including calibration labs, insurance, and enterprise operations.
3-Phase
Structured consulting framework
Discover, Design, Deploy
70%
Faster QA issue detection
Proven with AI CertAssure
24/7
AI Voice Agent availability
Live in production
100%
Observable AI systems
Metrics, logs & traces
Why AI Consulting, Why Now
Leadership teams feel the pressure to “do something with AI” but struggle to connect experiments to strategy, governance, and ROI. Research shows organizations advance fastest with a structured roadmap, not ad-hoc pilots scattered across departments.
Pilot Purgatory Is Real
Most organizations are stuck experimenting with chatbots and copilots without a roadmap, governance model, or observability. Scattered pilots never reach production scale.
Competitors Are Not Waiting
Organizations that progress from experiments to integrated AI workflows gain compounding advantages in cost, speed, and innovation. Waiting another year widens the gap.
Observability Is Non-Negotiable
Modern AI systems require strong observability to remain trustworthy. Without metrics, logs, and traces, you cannot audit, tune, or trust what your models are doing.
Regulators Are Catching Up
Emerging regulations and enterprise buyer expectations demand AI systems that are auditable, explainable, and governed. Building this in later is exponentially harder.
“Organizations that follow a structured AI adoption roadmap consistently outperform those running scattered experiments. The difference is not technology -- it is strategy, governance, and observability.”
Why Choose Calibrify as Your AI Partner
Not just consultants -- practitioners who build and operate production AI systems every day in quality-critical environments.
Proven in Quality-Critical Environments
Born inside calibration laboratories where ISO 17025 compliance, traceability, and auditability are non-negotiable. AI QA CertAssure automatically detects issues in calibration certificates and reduces manual QA time by 70%, proving AI can strengthen quality rather than compromise it.
Deep AI Automation Expertise
Beyond calibration, our team has built real-time signal detection for B2B prospecting, voice-controlled orchestration for legacy software, insurance logic engines, and CRM automations driven by agentic AI. Proven production-grade AI in complex, regulated environments.
Quality & Observability by Design
We embed multi-dimensional evaluation (groundedness, safety, relevance), structured logging of agent steps, and data-drift monitoring from day one. AI systems built as glass boxes that are reliable, auditable, and improvable over time.
Founder-Led, Practitioner Expertise
Founded by practitioners who have run IT and software in calibration companies, bridging business strategy, compliance, and hands-on systems integration. Conversations quickly move past generic AI hype to specific workflows, constraints, and economic levers in your organization.
The Calibrify AI Consulting Framework
Three clear phases that compress best practices from leading AI adoption methodologies into a pragmatic, customer-centric journey.
Initial Meeting & Albert Assessment
Start here -- low-friction, immediate value
Every engagement starts with a strategy session amplified by our AI Assessment Tool, "Albert". We align on objectives, decision-makers, timelines, budget, and constraints while Albert captures context, structures requirements, and generates an AI readiness assessment with candidate workflows, complexity, and potential impact.
Discover -- Vision, Guardrails & Opportunities
Answer "Why AI?" and "Where should we start?"
Phase 1 delivers a clear AI vision linked to business strategy, an AI readiness view covering data, technology, people, and governance, and a portfolio of high-impact, low-friction candidate use cases mapped by value, feasibility, and risk.
Design -- AI Operating Model & Blueprints
Turn the opportunity map into an executable plan
We prioritize use cases with defined success metrics, create solution blueprints describing data sources, human touchpoints, and quality governance, and define the AI operating model with clear roles, decision rights, and approval workflows.
Deploy & Evolve -- Pilots to Production
Live AI with full observability and continuous improvement
We deploy AI into live workflows starting with contained pilots, implement end-to-end observability (metrics, logs, traces, evaluations, user feedback loops), conduct structured reviews against business KPIs, and design rollout plans for successful use cases.
AI Quality & Observability as Non-Negotiables
AI systems must be designed as “glass boxes” with metrics, logs, and traces that allow teams to understand what models are doing in production. We embed these practices from day one -- making evaluation, monitoring, and safety first-class.
Data Quality Monitoring
Track input distributions, schema changes, and anomalies to catch issues before they propagate through AI pipelines.
Model Performance Tracking
Watch accuracy, drift, and failure cases over time. Multi-dimensional evaluation including groundedness, safety, and relevance.
System-Level Observability
Latency, error rates, and resource utilization integrated with application monitoring and traditional SRE practices.
Agent Lifecycle Instrumentation
Structured logs and traces covering data ingestion, retrieval, reasoning, and response generation for full transparency.
Automated Feedback Loops
Combine user feedback, human review of edge cases, and automated anomaly detection to drive continuous improvement.
Governance & Compliance
Dashboards and alerts that give executives, auditors, and regulators the evidence they need to trust your AI systems.
The Result
AI turns from a one-off project into a living system that gets better the longer it runs, while giving executives, auditors, and regulators the evidence they need. Every engagement is designed so quality and observability are part of the architecture and the operating model -- not just the test plan.
What We Build: Example Implementations
Once the consulting framework identifies the right use cases, these are the kinds of AI solutions we design, deploy, and operate.
Certificate QA Automation
Using patterns from AI QA CertAssure, automate quality checks on structured documents -- catching errors, inconsistencies, and missing explanations before customers see them.
AI Voice Agents & Digital Front Doors
Always-on assistants that answer questions, send documents, schedule appointments, and update backend systems using RAG and secure integrations.
Voice-First Legacy System Orchestration
Agentic automation layers that control desktop or legacy applications via natural language -- a bridge between modern AI and systems without APIs.
Insurance & Risk Decision Engines
Parameterized logic engines for rapid product rollout while AI validates data, screens against restrictive lists, and explains decisions in auditor-friendly language.
GTM & CRM Automations
Agentic workflows that detect buying signals, orchestrate multi-step outreach, and sync outcomes to CRMs -- monitored for performance and compliance.
Custom Agentic Workflows
Multi-step AI processes using n8n, Microsoft agent frameworks, and orchestration platforms -- with observability and governance applied consistently.
Ongoing Engagement Models
After the initial consulting phases, many clients choose Calibrify to help implement and operate specific AI solutions. Always driven by the business case defined during consulting.
Fractional Chief AI Office (fCAIO)
Part-time leadership and advisory support to guide AI roadmap decisions, vendor selection, and governance reviews.
Project-Based AI Implementations
End-to-end delivery of targeted AI solutions from design to production, building on patterns proven in calibration, insurance, and customer operations.
Managed AI Operations
Ongoing support for monitoring, retraining, evaluation, and incident response for mission-critical AI systems.
Technology Philosophy: Open, Flexible & Microsoft-First
We follow a “best tool for the job” philosophy anchored in a strong Microsoft ecosystem. Clients are never locked into a single vendor or model while benefiting from enterprise-grade security, compliance, and observability.
Microsoft Azure AI as the core
Azure OpenAI, AI Search, AI Foundry -- enterprise-grade security, compliance, and observability.
Open-source where it makes sense
Meta Llama, Ollama, and Mistral for cost control or on-premise deployment with consistent governance.
Agentic orchestration
n8n, Microsoft agent tooling, and custom frameworks for multi-step, API-connected, observable workflows.
Technology Stack
LLM & AI Services
Open Source Models
Orchestration
Architecture Patterns
The Window Is Closing
Every quarter you spend in pilot purgatory, competitors are compounding advantages. The organizations that move from experiments to integrated AI workflows now will define the next decade.
From Tool Chaos to AI Strategy
Convert scattered chatbot and copilot experiments into an actionable portfolio with clear KPIs, governance, and a path to scale.
Quality as Your Unfair Advantage
While others rush to deploy generic models, you build AI that can be audited, tuned, and trusted -- meeting emerging regulator and buyer expectations.
Low-Friction Start, High-Impact Results
The Albert-powered initial assessment offers immediate value: a tailored AI readiness report with concrete next steps, even before a full engagement.
Frequently Asked Questions
What industries do you serve?
While our roots are in calibration and measurement labs, the consulting framework applies to any quality-critical or regulated industry -- manufacturing, insurance, healthcare, financial services, and more. We specialize in environments where accuracy, compliance, and auditability matter.
Do I need to be on Azure to work with you?
No. While we have deep expertise in Microsoft Azure AI (OpenAI, AI Search, AI Foundry), we follow a "best tool for the job" philosophy. We also work with open-source models like Meta Llama via Ollama, and can integrate with existing infrastructure. The right stack depends on your requirements.
How long does an engagement take?
The initial Albert Assessment takes one session. A full Phase 1-3 engagement typically runs 8-16 weeks depending on scope. Many clients see value from the initial assessment alone, and you can engage phase-by-phase with no obligation to continue.
What makes this different from other AI consulting firms?
We are practitioners, not just advisors. We build and operate production AI systems (AI QA CertAssure, AI Voice Agent) in quality-critical environments daily. Our consulting is informed by what works in the real world, not slide decks.
What if we already have AI initiatives underway?
Great -- many clients engage us precisely to bring structure, governance, and observability to existing AI projects. The framework works whether you are starting from zero or need to operationalize scattered experiments.
Is there a minimum company size?
No. We work with organizations ranging from specialized labs with 10 people to enterprises with hundreds of employees. The framework scales to your context, and our fractional CAIO model makes senior AI guidance accessible regardless of size.
Ready to Move From AI Curiosity to Measurable Results?
Start with a low-friction AI assessment powered by Albert. Get a tailored readiness report with concrete next steps -- no commitment required. Because the consulting practice is led by practitioners with active AI products in the market, capacity is intentionally limited.
Questions? Reach out directly at info@calibrify.app or schedule a call.