Specialists, not generalists.
Engagements structured by service and industry — because an agent for a bank and an agent for a storefront are different problems. Discovery to production, with your team enabled to own what we build.
AI Agent Consulting for Financial Services
Deploy compliant, auditable AI agents across banking, insurance, and asset management — from first use case to production fleet.
Conversational AI Consulting for Healthcare
Patient-access agents and clinician copilots that respect HIPAA, integrate with your EHR, and never improvise medical advice.
AI Automation Consulting for E-commerce
Automate support, catalog, and operations with AI agents that act on orders — not chatbots that apologize about them.
Generative AI Consulting
Generative AI consulting that ends in a running system in your cloud — not a strategy deck your team has to implement later.
Generative AI Strategy Consulting
A generative AI strategy you can execute: sequenced use cases, a first workflow in production, and an operating cadence your team keeps.
Generative AI Implementation Consulting
Implement generative AI in the enterprise the way production software is implemented — in your cloud, gated by evals, handed over to your team.
Generative AI ROI Consulting
Measure generative AI ROI on a bounded workflow with a golden set — not on a pilot that never took production traffic.
Enterprise Generative AI Roadmap Consulting
An enterprise generative AI roadmap that sequences use cases and platforms — and is proven by shipping the first workflow, not by dating a Gantt chart.
GenAI Pilot to Production Consulting
Move a generative AI pilot into production with evals, permissions, and a runbook — the reasons most pilots never leave the sandbox.
Build vs Buy Generative AI Consulting
Decide build versus buy for generative AI with a workflow test: if the copilot cannot act, retrieve with permissions, or pass a golden set, build.
Fractional AI CTO Consulting
A fractional AI CTO who ships: named owner, weekly 45-minute review, and a first system in your cloud — not advisory hours with no build.
AI Use Case Discovery Consulting
AI use case discovery that picks the first generative AI workflow that can ship — a metric, an owner, and a four-week calendar, not a backlog of 40 ideas.
Scaling Generative AI in the Enterprise
Scale generative AI beyond one team with shared evals, permissions, and runbooks — not a second unsponsored pilot in every department.
RAG Consulting
Retrieval-augmented generation that answers from your sources, cites them, and refuses when retrieval is empty — designed, built, and handed over in your cloud.
Enterprise RAG Implementation Consulting
Production RAG in the client cloud: hybrid retrieval, per-user ACL at query time, citations required, golden sets in CI — handed over in four weeks.
Agentic RAG Consulting
Multi-step retrieval that rewrites queries, inspects evidence, and stops when the corpus has nothing — not an agent that loops until it invents an answer.
Hybrid Search RAG Consulting
Vector search misses SKUs, policy numbers, and error codes. Hybrid search RAG — BM25 plus embeddings — is the production retrieval default.
Enterprise AI Knowledge Management Consulting
Generative AI over the wiki, SharePoint, and shared drives people already use — permissioned, cited, and refused when the corpus has no answer.
AI-Powered Enterprise Search Consulting
Replace “ten blue links” over company data with answers that cite sources, respect permissions, and refuse when search retrieves nothing.
GraphRAG Consulting
When chunk retrieval cannot join entities across documents, GraphRAG — a permissioned knowledge graph plus hybrid search — is the retrieval layer to build.
RAG Evaluation Consulting
Measure retrieval recall, answer faithfulness, and citations on your questions — then gate every index and prompt change in CI.
Prevent LLM Hallucinations Consulting
Stop production GenAI from inventing facts: retrieve the evidence, require citations, refuse when retrieval is empty, and gate faithfulness in CI.
AI Document Q&A Generative AI Consulting
Chat with PDFs, contracts, and policies in production: permissioned retrieval, citations to the page, and no answer when the document set is silent.
AI Agent Consulting
Production AI agents that act in your tools under scoped permissions — not chatbots, not RPA scripts, and not a strategy deck.
Agentic AI Consulting
Agentic AI that plans, uses tools, and iterates toward a goal — gated by evals, permissions, and a human fallback, not left unsupervised.
Multi-Agent Orchestration Consulting
Coordinate specialist agents over shared state when one agent is the wrong shape — and do not split a system just because the task is long.
MCP Agent Consulting
Connect agents to enterprise tools through MCP — with a registry, auth, audit, and a sandbox — not an open socket to production.
Copilot vs Agent Consulting
Pick copilot when a person should stay in every turn. Pick an agent when the system can pursue a goal with scoped tools — and prove it in shadow mode first.
Computer Use Agent Consulting
GUI-operating agents for the leftover surfaces that will not get APIs this year — sandboxed, allowlisted, and confirmed on every irreversible click.
Voice AI Agent Consulting
Production voice agents that qualify inbound calls and resolve support intents — under a latency budget, with disclosure, CRM writes, and a warm human transfer.
Customer Support AI Agent Consulting
Helpdesk agents that resolve tickets with actions — lookup, return, documented credit — not chatbots that apologize and escalate everything.
AI Workflow Automation Consulting
Put GenAI on the steps that need judgement over documents and language — and leave deterministic clicks to RPA — with one eval suite and a human fallback.
Autonomous AI Agents for the Enterprise
Autonomy is a permission you grant after evals hold — not a personality you give a model. Gate it, measure it, and own the result.
LLM Evaluation Consulting
Make LLM quality a number you can fail a release on — golden sets, rubric judges, and CI gates in your stack.
LLM Governance Consulting
Govern enterprise LLMs with an inventory, written intended use, and controls that live in the runtime — not in a policy PDF nobody can audit.
AI Risk Management Consulting
Treat LLM risk as four problems you can score — data, actions, vendors, and drift — then put gates on each before production traffic.
EU AI Act Compliance Consulting
Classify the GenAI system you actually run, then build the logging, oversight, and documentation your counsel can review — without pretending we sell an Act certificate.
Private LLM Consulting
Choose a private or VPC-hosted LLM only when data, residency, or vendor terms require it — then serve it in your cloud with evals, not a science project.
On-Prem LLM Deployment Consulting
Deploy LLMs inside the firewall when regulated data cannot leave — with serving, identity, reconstructable traces, and eval gates your operators can run.
LLM Security and Red Teaming Consulting
Red-team the agent you are about to ship — jailbreaks, prompt injection, data leakage, and tool abuse — then freeze the failing attacks as CI gates.
LLM Model Selection Consulting
Pick which LLM to use in the enterprise with a bake-off on your cases — quality, cost, latency, and vendor terms — not a Twitter thread about the newest model.
Fine-Tuning vs RAG Consulting
Decide fine-tuning vs RAG with evidence: retrieve for facts that change, fine-tune for behavior the prompt cannot hold, and eval both before you spend GPU time.
Enterprise Prompt Engineering Consulting
Treat prompting as a production discipline: versioned system, user, and tool layers, scored on a golden set, gated in CI — not a workshop fad.
Generative AI Consulting for Legal
Legal research, contract review, and memo drafting that cite versioned sources — and refuse when the record is silent or authorities conflict.
Generative AI Consulting for Healthcare
Documentation and administrative generative AI that cites the chart, respects HIPAA, and never improvises medical advice.
Generative AI Consulting for Insurance
FNOL, policy Q&A, and claims intake grounded in current policy language — servicing first, never unsupervised settlement.
Generative AI Consulting for Manufacturing
Maintenance copilots, SOP Q&A, and quality documentation that cite the work instruction in force — not a model’s guess at torque specs.
Generative AI Consulting for HR
Policy Q&A and recruiting copilots that cite the handbook in force — and never leak another employee’s file.
Generative AI Consulting for Marketing
Brand-safe generative content systems with a claims library and evals — not another ChatGPT seat and a hope.
Generative AI Consulting for Sales
Lead qualification, CRM copilots, and proposal drafts that cite the opportunity record — not a model’s story about the deal.
Text-to-SQL Consulting
Natural language to warehouse SQL that is evaluated, dialect-correct, and blocked before it can mutate or wander.
AI Code Generation Consulting
Copilots and review agents that draft against your repos — and never merge unaudited generated code.
Intelligent Document Processing Consulting
Extract structured fields from contracts, invoices, and claims with citations back to the page — and a human queue when confidence drops.
ChatGPT Enterprise Implementation Consulting
Roll out ChatGPT Enterprise on your IdP, with data controls, a governed GPT catalog, and a path from prototypes to production agents — in four weeks.
Microsoft Copilot Consulting
Get Microsoft Copilot working on your Graph and IdP — and a clear rule for when Copilot is the wrong tool and you need a production agent instead.
Custom GPT Consulting
Build Custom GPTs that are honest prototypes — then graduate the ones that need tools, evals, and write-actions into agents you own.
LLMOps Consulting
Turn prompts, evals, traces, and releases into an operating system — so ChatGPT Enterprise and Copilot prototypes can become production you can run.
AI Cost Optimization Consulting
Cut LLM waste with routing, caching, and context engineering — you pay the provider, we do not resell tokens, and evals keep quality honest.
Context Engineering Consulting
Design the context layer production agents trust — retrieval, tools, permissions, and budgets — not a longer system prompt in ChatGPT Enterprise.
AI Change Management Consulting
Make GenAI usable under policy: named champions, an acceptable-use line, and a rule that Custom GPTs are prototypes — not a poster and a license blast.
Generative Engine Optimization Consulting
Earn citations in ChatGPT, Gemini, and Perplexity the way search engines earn links — with quotable answers, FAQ schema, and entity-clear pages, not a GEO score gimmick.
Data Readiness for Generative AI Consulting
Fix the data layer GenAI actually needs — canonical sources, ACLs, PII, and eval sets — before you scale ChatGPT Enterprise, Copilot, or agents.
AI Observability Consulting
See every production LLM decision — traces, cost, eval drift, and reconstructable logs — in your cloud, not a screenshot from a Copilot admin center.
Engagements follow a {service} × {industry} variable structure — new combinations are added to the dataset and ship with full Service + FAQ schema automatically.
Don’t see your industry?
The structure travels — the controls, evaluation discipline, and enablement model adapt to any regulated or scaled domain. Tell us yours.
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