Enterprise
Enterprise AI, Past the Pilot Stage
Roughly 95% of enterprise AI pilots never reach production. This is the library for the teams beating that number — agentic workflows, evaluated tools, and playbooks built for governance, scale, and real deployment.
Enterprise Workflows
Agentic systems for large organizations — each with its orchestration pattern, ROI framing, and failure modes spelled out.
Agent Evaluation & Regression Harness
AdvancedA test suite for non-deterministic systems — so you can change a prompt, a model, or a tool and know what broke before your customers do.
AnalyticsAgentic
The return is measured in avoided incidents and shipping velocity rather than…
SaaS & Tech Companies, Financial Services
View workflow
AI Agent Inventory & Governance Program
AdvancedFind every agent your business units already shipped, right-size its permissions, and put a control plane around the ones that stay.
AgenticAutonomous
This is a loss-avoidance and enablement program, not a productivity one, so…
SaaS & Tech Companies, Healthcare, Financial Services, Manufacturing
View workflow
Contract Review & Procurement Agent (Human-in-Loop)
IntermediateAn agent that triages inbound contracts against your playbook, flags deviations, drafts redlines, and routes to legal — with a human owning every signature.
For a team reviewing 200 contracts a month, cutting first-pass review from ~90…
Law Firms, Financial Services
View workflow
Multi-Agent Customer Support Deflection at Scale
AdvancedA tiered agent system that resolves routine support tickets end-to-end, escalates the rest with full context, and keeps humans on the hard 20%.
At 100k tickets/year and a blended $6-8 fully-loaded cost per tier-1 contact,…
Ecommerce Support Teams, SaaS & Tech Companies
View workflow
Enterprise RAG Over Internal Knowledge Bases
AdvancedA governed retrieval system that answers employee questions from internal docs — with permissions, citations, and an eval harness that catches drift.
Internal RAG rarely shows up as headcount savings — it shows up as time. If…
SaaS & Tech Companies, Healthcare
View workflow
Enterprise Voice Agent for Tier-One Contact Center
AdvancedDeflect the repetitive half of contact center volume to a voice agent that knows when to stop talking and transfer.
Customer ServiceVoice Agent
Model it per contained call rather than per seat. A contact center handling…
Ecommerce Support Teams, Healthcare, Financial Services, Logistics & Supply Chain
View workflow
Tools for Enterprise AI
Agent frameworks, evaluation and observability, governance, and infrastructure — assessed honestly, with the enterprise caveats.
Amazon Bedrock
AI InfrastructureAWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
Good for: Enterprises already standardized on AWS, Teams needing models inside their cloud security perimeter, Regulated organizations with strict compliance needs
View tool
Cohere
AI / LLMAn enterprise-focused foundation model provider, with strong retrieval, reranking, and multilingual models plus private deployment options.
Good for: Enterprises building RAG and semantic search, Regulated industries needing private deployment, Multilingual and global organizations
View tool
Databricks Mosaic AI
AI InfrastructureDatabricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
Good for: Enterprises building AI on the Databricks lakehouse, Data teams that want AI governed alongside data, Organizations unifying data and AI on one platform
View tool
Galileo
AnalyticsAn enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
Good for: Enterprises running agents and LLM apps at scale, Regulated organizations needing runtime safeguards, Teams needing both evaluation and live monitoring
View tool
Glean
AI / LLMAn enterprise AI platform that connects to company apps to power permission-aware search, an assistant, and agents over internal knowledge.
Good for: Large enterprises with knowledge spread across many tools, Teams deploying an internal AI assistant, Organizations that need permission-aware AI search
View tool
Granola
AI / LLMAn AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
Good for: Founders and executives in back-to-back meetings, Consultants and client-facing professionals, Sales teams who do not want a bot in the room...
View tool
Research & Insights
The honest version of enterprise AI — the forward-deployed engineer trend, the layoffs data, and why pilots stall.
The Agent You Didn't Know You Deployed
Most enterprises do not have an AI adoption problem. They have an AI inventory problem — and the first honest count is usually three to five times what anyone predicted.
ReadAI Agent Pricing Decoded: Per-Seat vs. Per-Action vs. Per-Outcome
Four vendors, four incompatible pricing models, and one arithmetic trap that doubles your bill without anyone telling you.
ReadAI Layoffs: Hype vs. Reality — What the 2026 Data Shows
Companies keep blaming layoffs on AI. The data says it is real — and also heavily oversold. Here is what is actually happening.
ReadWhat a Forward-Deployed Engineer Actually Does
The FDE is 2026's breakout tech role — hiring is up ~800% since 2025. Here is what the job really is, and why enterprises suddenly need it.
ReadEnterprise Playbooks
Free, email-gated implementation guides — adoption, the FDE function, and AI governance for regulated industries.
The Enterprise AI Adoption Playbook
FreeA practical guide to moving enterprise AI from stalled pilots to production — governance, sequencing, and the patterns that actually ship.
PDFDownload free
Standing Up a Forward-Deployed Engineer Function
FreeHow to build an FDE practice — the role that closes the gap between AI capability and real deployment, and why demand for it grew 800% since 2025.
PDFDownload free
AI Governance & Risk Framework for Regulated Industries
FreeA governance framework for deploying AI in regulated environments — risk tiering, controls, human oversight, and audit evidence that holds up.
PDFDownload free
Enterprise AI, without the hype
Workflows, tooling, and operator-minded analysis for teams deploying AI at scale. No breathless takes — just what is working.
Ready to implement AI in your business?
Free implementation guides for SMB operators and enterprise teams — workflows, prompts, governance, and tool stacks built to ship.