The AI Agent Execution Platform for Enterprise Operations
Move beyond failed pilots. LlamaSee gives Chief AI Officers the infrastructure to deploy a digital workforce, orchestrate agentic workflows, and govern AI in production — with measurable ROI from day one.
AI investment is surging.
ROI is not.
The challenge isn't access to models or budget. It's the absence of an execution layer that can run AI in production at enterprise scale.
of Fortune 500 companies have dedicated Chief AI Officers — the mandate to transform is real and funded.
of enterprise AI projects yield positive ROI. The gap isn't investment or models — it's the execution layer.
Built for production.
Not prototypes.
LlamaSee helps enterprises create AI agents, run them as a governed digital workforce, monitor outcomes, explain decisions, and audit every step.
Agent workforce
Create task-specific AI workers for operations, analytics, review, and workflow execution. Manage them with roles, responsibilities, versions, status, and review history.
Decision intelligence
Turn business signals into explanations, root-cause analysis, recommended actions, and decision-ready operating reviews.
Governed execution
Monitor agent activity, cost, quality, privacy checks, errors, human escalations, and audit evidence from one operating layer.
Audit backbone
Trace recommendations back to data, signal, business context, assumptions, execution stages, provider choices, model versions, and outcomes.
Fast integration
Developers and business analysts connect workflows quickly with an SDK and business context layer while governance stays centralized.
Separated roles
AI administrators own governance and reviews. Developers own integrations and extensions. Business analysts contribute operating context.
How LlamaSee
runs AI work.
A public-safe tour of the four core motions: build AI workers, monitor their outcomes, explain decisions, and govern execution.
Track AI activity, ROI, success ratios, productivity leaders, and quality feedback from a clean operational dashboard.
Not pilots.
Production at scale.
Catalog classification agent: $2.00 → $0.02
Manual catalog operations cost $2 per transaction and took 5 minutes each — prohibiting growth at scale. LlamaSee deployed an AI catalog agent and iterated it over 2 days across multiple LLM models.
Result: 99% cost reduction, 1,000% throughput increase, and 800,000 products now classified continuously in production.
Purpose-built for operational AI
Both products have super-user configuration tools to expedite implementation — no heavy engineering required.
Agentic process automation
Automate millions of repetitive, judgment-heavy decisions at enterprise scale. From catalog classification to invoice matching to claims processing.
- High-volume decision execution at scale
- Human-in-the-loop escalation built in
- Fast iteration with cost controls
- Multi-LLM routing to minimize cost
- Free assessment to identify best automation candidates
Operations control tower
Connect data signals, business strategy, and AI reasoning into one decision system. Give executives visibility from signal to action.
- Data → signal → business strategy traceability
- LLM-powered root cause analysis
- KPI decomposition and portfolio analysis
- Cross-functional execution visibility
- Weekly business review automation
Build an AI practice
on LlamaSee
LlamaSee changes the consulting engagement model. Business strategy consultants focus on transformation — LlamaSee handles the AI execution layer. SI partners and consulting firms can build repeatable, scalable AI practices.
SI partner model
Team up with LlamaSee in Phase I engagements. Your team drives business strategy and process mapping — LlamaSee provides AI infrastructure, model orchestration, and governance. Revenue share on subscriptions.
Revenue share Co-sell Joint deliveryConsulting practice builder
From a single AI use case to a scalable industry practice. Start with one repetitive task (ROI in 8–12 weeks), expand to workflow templates and knowledge bases, then scale a full vertical practice with reusable solutions.
Industry accelerators Reusable templates Faster deploymentsPrivacy is part of
the system design.
LlamaSee is designed for production environments where business context, prompts, outputs, and decisions must remain governed, reviewable, and protected.
Audit is the backbone of agent operations.
We position agents as controlled digital workers, not black boxes. Teams can create different task agents, monitor their work, and review evidence before high-impact actions move forward.
Built by operators
who scaled AI
Sr. Advisor BCG. Active board director for multiple public companies.
AWS and Amazon public sector enterprise.
Ready to see ROI
in 8–12 weeks?
Start with a free Phase I assessment to identify where agents and workflows can create immediate enterprise value.
- Free 1-day AI strategy workshop — no cost, no commitment
- Identify your highest-ROI automation candidates
- Define KPIs and prioritize use cases
- Fixed-cost 8–12 week implementation with your team
- SI partners welcome — co-delivery model available