What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post → What You Get
The outcomes a strong ai & technology consulting engagement delivers.
01
Vendor-neutral guidance from senior consultants and AI engineers
02
Production AI, not pilots that never ship
03
Avoid expensive mistakes before contracts are signed
04
Outcomes measured in revenue, time saved, and risk reduced
05
Clear technology and AI roadmaps tied to business strategy
06
Governance, accuracy, and human-in-the-loop built in
Common Challenges
What we see over and over in ai & technology consulting engagements.
The challenges that come up in nearly every conversation we have with clients about ai & technology consulting.
01
A backlog of AI pilots, few in production
Industry research shows most enterprise AI initiatives stall before production. The bottleneck is rarely the model — it is governance, change management, evaluation, and integration with real workflows.
02
Leadership uncertainty on where to bet
Every vendor pitches AI. The question leaders need answered is where AI will create durable advantage in their business — and where it will produce expensive parity.
03
Existing platform investments to leverage
Salesforce, Microsoft, Google, and AWS all have credible AI platforms. So do Anthropic and OpenAI. The right answer usually combines them — and depends on the workflow, not the vendor.
04
Data and identity readiness for AI
AI is only as good as the data it can see and act on. Most companies are an identity, data quality, and access management project away from being able to deploy AI safely.
05
Risk, governance, and regulatory pressure
The EU AI Act, NIST AI RMF, ISO 42001, and emerging state laws are reshaping how enterprises must govern AI. Most companies have not yet built the muscle.
06
Build vs. buy across the AI stack
Foundation models, agent frameworks, vector databases, evaluation platforms — every layer has both a buy and build option. Picking right requires real engineering judgment.
Practice Areas
The major ai & technology consulting sub-practices we deliver.
Each represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
AI Strategy & Roadmapping
A structured engagement to map where AI will create the most value in your business — and produce a sequenced, accountable roadmap with measurable outcomes.
AI Governance Programs
AI inventory, risk classification, approval workflows, monitoring, and audit-ready evidence aligned to NIST AI RMF, ISO 42001, and EU AI Act.
Agentic AI & Copilots
Production agent architectures using Claude, GPT-4, Agentforce, and custom frameworks. Tool use, evaluation, human-in-the-loop, and escalation patterns.
RAG & Knowledge Architectures
Retrieval-augmented generation systems built for the realities of enterprise knowledge — ingestion, chunking, embeddings, retrieval, evaluation, and operations.
Platform Selection & Architecture
Independent assessment and recommendation across Salesforce Einstein, Agentforce, Microsoft Copilot, Google Vertex AI, AWS Bedrock, and direct foundation model APIs.
Technology Consulting (non-AI)
Architecture review, vendor selection, M&A integration planning, platform consolidation, and digital transformation strategy.
What We Deliver
Concrete deliverables — not slideware.
Every engagement produces working artifacts your team can use long after we leave.
✓
AI strategy and roadmap documents
✓
AI readiness diagnostic and gap analysis
✓
AI governance framework (NIST AI RMF, ISO 42001 aligned)
✓
Production AI agents (Claude, GPT-4, Agentforce, custom)
✓
RAG architectures and knowledge platforms
✓
AI evaluation and observability infrastructure
✓
Platform selection and vendor assessment
✓
Architecture review and modernization plans
✓
M&A technology due diligence and integration plans
✓
Executive AI fluency workshops
Platforms & Ecosystem
The technology we typically deploy.
We are platform-neutral and pick what fits — but here are the tools where our team carries deep, hands-on certification.
Anthropic Claude (API, Bedrock, Vertex)
OpenAI / Azure OpenAI
AWS Bedrock
Google Vertex AI
Salesforce Einstein & Agentforce
Microsoft Copilot Studio
LangChain / LangSmith
LlamaIndex
Pinecone
Weaviate
pgvector
Databricks Mosaic
Hugging Face
Vellum
Humanloop
Arize
Fiddler
Snowflake Cortex
Cohere
Outcomes We Deliver
The metrics we actually move.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
01
AI pilot to production rate
Increase from <30% to >75%
02
Time saved per knowledge worker
5-15 hours/week
03
AI workflow accuracy
Reach 95%+ for production
04
AI governance findings
Reduce to zero material
05
Time to ROI on AI investment
<6 months typical
06
Employee AI adoption rate
Increase to 70%+
Signature Frameworks
Proprietary methodologies for ai & technology consulting work.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
Framework 01
AI Readiness Diagnostic
Our two-week assessment that maps where AI will and will not create value in your organization, plus a sequenced roadmap with measurable outcomes.
Framework 02
AI Governance Operating Model
A framework for AI inventory, risk classification, approval workflows, and ongoing monitoring that scales beyond a single steering committee.
Framework 03
RAG Reference Architecture
A battle-tested pattern for retrieval-augmented generation in enterprise — covering ingestion, chunking, embeddings, retrieval, and evaluation.
Framework 04
AI Agent Design Method
Our approach to designing AI agents that handle real work — tool use, error handling, escalation paths, and human-in-the-loop workflows.
Industries Served
Where this capability shows up.
AI & Technology Consulting engagements run across regulated and complex industries. Each combines this capability with sector-specific expertise and regulatory awareness.
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
02
Design
Documented solution architecture, realistic timeline, and a transparent commercial proposal. No surprises and no hidden scope.
03
Build
Configuration, development, integrations, data migration, and QA — with weekly demos, regular client touchpoints, and on-the-fly adjustments.
04
Launch & Optimize
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live — we stick around until success metrics are confirmed.
Case Studies
Recent ai & technology consulting work.
Featured Insight
Insight & analysis from our ai & technology consulting team.
Practitioner-level analysis from the consultants delivering the work.
AI Implementation
What it actually takes to ship a production AI agent in 2026
AI Implementation
Frequently Asked
Common questions about ai & technology consulting.
Are you locked into a particular AI vendor?
No. We are an Anthropic Build Partner, run heavy work in Bedrock and Vertex, and deploy across Salesforce Einstein / Agentforce, Microsoft Copilot, and direct model APIs. The right answer depends on the workflow, not the vendor.
How do we know AI will actually pay back?
Every AI engagement starts by identifying the specific workflows, hours, or revenue movements we expect to influence — and how we will measure them. If we cannot articulate the measurement plan, we do not start the work.
What about model risk and governance?
Governance is the work, not an afterthought. We deliver AI engagements with governance evidence built in — inventory, classification, approval, monitoring, and audit trails — aligned to NIST AI RMF and emerging regulation.
Can you help us decide what to build vs. what to buy?
Yes — this is one of our most-requested engagements. We deliver a structured assessment, sized for your team, that maps the major build / buy decisions and gives a defensible recommendation for each.
Explore More
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Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
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Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
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