PMO1 AI Agent Suite

Custom Agent Design & Deployment

We design, build, and deploy Custom AI Agent Suites for Strategy, Procurement, and Sales. Secure, on-premise, and fully compliant with the EU AI Act. Don't just buy AI; engineer it to fit your DNA. Generic "Off-the-shelf" AI struggles with the nuance of your business and the strictness of European regulations. At PMO1, we combine Tier-1 Strategy Consulting with deep expertise in AI workflows.

AI Agents

The PMO1 AI Agent Suite empowers enterprises with an autonomous workforce designed to execute complex workflows across Sales, Strategy, and Procurement. By automating critical tasks - from M&A screening to lead engagement - our agents eliminate operational bottlenecks, delivering speed, precision, and strategic agility at scale.

CapEx Gatekeeper

This autonomous Agent validates capital requests against strategic priorities in real-time. It scores proposals for alignment, challenges low-value spend

RFP Submission Agent

An AI agent that automates the end-to-end RFP creation process. It autonomously drafts, validates, and refines RFP documents using real-time historical data, compliance protocols, and preferred supplier intelligence

Contract Compliance Agent

This Agent turns static contract PDFs into a searchable, interactive knowledge base. and allows managers to query complex agreements in plain English

Lead Tracking Agent

An autonomous agent that orchestrates end-to-end initial meeting scheduling with sales prospects. By synthesizing calendar availability, complex time zone data, and lead preferences, it accelerates pipeline velocity without manual intervention

Lead Intelligence Agent

This autonomous agent consolidates and enriches contact data from disparate sources to create a high-fidelity prospecting foundation.

Market Intelligence Agent

This autonomous agent accelerates strategic decision-making by synthesizing real-time competitor data across financial filings, digital footprints, and market news.

RFP Submission Agent

An AI agent that automates the end-to-end RFP creation process. It autonomously drafts, validates, and refines RFP documents using real-time historical data, compliance protocols, and preferred supplier intelligence

OKR Tracker Agent

This autonomous Strategy Agent ensures initiative execution by proactively monitoring OKRs, detecting stall risks, and engaging owners directly to update status.

Synergy Tracker Agent

This autonomous "Value Realization Engine" secures post-merger success by continuously auditing actual financial performance against deal thesis targets.

Tail Spend Buying Assistant

This agent automates the management of "tail spend" (high-volume, low-value purchases) by guiding users to existing catalogs or autonomously running simplified RFQs.

RFP Drafting Agent

This agent acts as an automated sourcing architect, instantly converting a simple manager request into a fully comprehensive RFP package.

Market Research Intelligence Agent

This autonomous AI agent aligns disparate structured and unstructured market data to accelerate strategic speed-to-insight.

Cold Outreach Agent

This autonomous agent orchestrates hyper-personalized prospecting at enterprise scale. it generates and delivers tailored cross-channel outreach that drives engagement.

OKR Tracker Agent

This autonomous Strategy Agent ensures initiative execution by proactively monitoring OKRs, detecting stall risks, and engaging owners directly to update status.

Invoice Reconciliation Agent

This agent helps resolve "three-way match" failures by analyzing invoices against POs and contracts. It doesn't just flag discrepancies; it identifies the root cause and drafts the resolution for one-click approval.

Maverick Spend Agent

This agent detects "off-contract" spending and aggregates data from disparate systems to identify value leakage.

Lead Engagement Optimizer

This autonomous agent maximizes lead conversion by dynamically tailoring outreach strategy in real-time.

Closing Insights Agent

This autonomous agent decodes the "why" behind your sales performance, by synthesizing structured metrics with unstructured interaction data.

M&A Scout

This autonomous strategy agent accelerates deal sourcing by filtering target lists against financial guardrails and generating investment profiles in real-time.

Invoice Reconciliation Agent

This agent helps resolve "three-way match" failures by analyzing invoices against POs and contracts. It doesn't just flag discrepancies; it identifies the root cause and drafts the resolution for one-click approval.

Blue Ocean Scout

This autonomous "Innovation Radar" uncovers untapped market opportunities by scanning consumer discussions and patent databases.

FAQs

How does a Strategy AI Agent differ from standard enterprise GenAI tools? arrow faq
Standard tools are generalized assistants. Our Strategy AI Agent is an agentic workflow engine specifically architected for high-stakes problem solving. It combines specialized retrieval-augmented generation (RAG) with chain-of-thought reasoning to simulate the workflow of a strategy analyst: hypothesis generation, rigorous market synthesis, and scenario modeling.
Can this agent replace the role of a Strategic Analyst or Associate? arrow faq
No. It creates leverage, not replacement. It functions as an "always-on" Junior Associate, handling the heavy lifting of data synthesis, document review, and initial hypothesis structuring. This allows your human talent to shift focus from information gathering to insight generation and stakeholder influence.
How do we measure the ROI of a Strategy AI Agent? arrow faq
We look at three metrics: Time-to-Insight (reducing research cycles from weeks to hours), Coverage (analyzing 100% of available internal/external data rather than a sample), and Cost-per-Query (significantly lower in local environments compared to API-based token consumption).
Can the agent conduct independent market research? arrow faq
Yes. Through agentic orchestration, the system can autonomously execute search queries, scrape trusted external sources, ingest analyst reports (PDFs), and synthesize findings into a coherent "State of the Market" briefing, complete with citations.
Why does PMO1 recommend local/on-prem deployment over cloud-based LLMs? arrow faq
For strategy, data sovereignty is non-negotiable. Cloud-based models introduce latency and potential data egress risks. A local deployment ensures your proprietary strategic IP (M&A targets, pricing models, 5-year plans) never leaves your firewall. It offers air-gapped security with enterprise-grade performance.

AI Agent Suite