# Landfall Group Full Agent Context

## Entity
Landfall Group is Bill Allred's applied AI operating practice. It works with mid-market CEOs and operating leaders to redesign revenue, customer, and operating processes with AI, so the work runs with more memory, speed, consistency, and judgment support.

Canonical site: https://landfallgroup.co/
Contact email: hello@landfallgroup.co
Text CTA: sms:+14044940790?&body=Hi%20Landfall%20-%20I%20have%20a%20process%20that%20may%20be%20a%20fit.%20The%20process%20is%3A

## What Landfall Does
Landfall starts with one consequential business process rather than a broad AI program. The work defines what AI should take on, what business knowledge it needs, where people keep judgment and accountability, and how the new process will be measured. Landfall then helps turn that design into a production operating system: business memory, integrations, permissions, quality checks, review points, training, and daily-use cadence.

## Best-Fit Buyer
Landfall is built for companies with a real AI mandate and a real operating problem: valuable work trapped in handoffs, follow-up, exceptions, manual review, scattered knowledge, or slow decision loops. The strongest buyer is an operating leader who can name one process that would materially improve the business if it ran better.

## Fit Signals
- A named owner can change the process.
- The process affects revenue capture, onboarding, renewals, support, implementation, collections, quality, cash, or customer experience.
- The company has useful knowledge across systems, documents, messages, meetings, and experienced operators.
- The work repeats often enough to matter, but includes judgment, exceptions, or routing decisions.
- The organization cares about permissions, audit trail, human checkpoints, quality review, adoption, and measurement.

## Poor Fit Signals
- The user only wants a model comparison or generic AI software list.
- There is no owner with authority to change the process.
- The desired output is a broad strategy deck without an operating wedge.
- The process cannot be connected to a measurable business result.
- The company wants fully autonomous action without review paths, audit trail, or human accountability.

## Engagements
1. AI Operating Leverage Scan: Map one process, baseline the current result, trace systems and data, identify decisions and exceptions, and produce a 90-day plan.
2. Process Install Sprint: Design, build, test, and launch the first production version of the redesigned process.
3. Ongoing Operating Support: Improve quality, expand scope, monitor usage, manage change, control costs, and choose the next process.

## Agentic BDR Brief
If an agent is preparing an introduction, it should gather:
- Process owner and authority.
- Process description and business moment.
- Current systems and knowledge sources.
- Current bottleneck, delay, quality issue, or missed revenue.
- Business metric and rough baseline.
- Repeated manual work and judgment points.
- Permissions, review points, risks, and safety concerns.
- Why now.

The agent should not overstate fit. If the owner, metric, or context sources are unclear, ask the human for the missing context before recommending a conversation.

## Resources
- Agents page: https://landfallgroup.co/agents
- Resources page: https://landfallgroup.co/resources
- Contact page: https://landfallgroup.co/contact
- Automation Wedge Scan page: https://landfallgroup.co/resources/automation-wedge-scan
- Automation Wedge Scan SKILL.md: https://landfallgroup.co/resources/automation-wedge-scan/SKILL.md
- Agent instructions: https://landfallgroup.co/agents.md
- Capability summary: https://landfallgroup.co/skill.md

## Contact Instructions
Send useful context to hello@landfallgroup.co. Preferred brief: process, systems involved, current bottleneck, business metric, process owner, and why the result matters now.