Client Engagements

AI Systems We've Deployed.
Results We've Delivered.

From healthcare to real estate, agriculture to executive operations — these are production AI systems running inside real organizations. Not proofs of concept. Not pilots. Deployed, measurable, and compounding.

9 Engagements|6 Industries|Production Systems Live

Engagement Index

Deployed systems across nine organizations.

Real Estate · Underwriting

A full underwriting ecosystem.

A private equity firm expanding into a new market faced a familiar constraint: hiring a data processor, underwriter, and additional analysts for a single geography doesn't scale. Instead of growing headcount, we deployed an AI-powered underwriting pipeline on top of the existing team — enabling them to 10x deal throughput without a single new hire.

Read detailed case study →

Digital Manufacturing · Intelligent Quoting

From days to hours. From hours to revenue.

A digital manufacturing company processing CNC production jobs — brake housings, bevel gears, custom components — was bottlenecked at the quoting stage. Every inbound request required manual review of CAD drawings, material analysis, and production planning before a quote could go out. The result: days of turnaround, lost deals to faster competitors, and a quoting team buried in repetitive analysis. We deployed an AI-powered quoting engine that monitors CAD files, analyzes material specifications and production requirements, and generates accurate quotes in hours instead of days.

Read detailed case study →

Enterprise Intelligence · Unified Knowledge Base

The organization's single brain.

Every department generates data. Almost none of it talks to the rest. Operations doesn't see what finance knows. Sales doesn't see what product is building. Customer service resolves issues that marketing is actively promoting. We built a unified intelligence layer — a single brain that ingests context from every department and makes it available to every decision, in real time, across the entire organization.

Read detailed case study →

Healthcare · Agent Ecosystem

Seven agents. One operator. A full healthcare platform.

Olive Health needed a comprehensive resource for individuals and families navigating terminal illness — treatment center databases, research aggregation, educational content, and organic acquisition. Instead of hiring across six roles, we deployed seven AI agents that research, build, optimize, and publish autonomously.

Read detailed case study →

Executive Operations · Chief of Staff

From copy-and-paster to operator.

Kim runs her own business, supports her husband's business, manages a household, and cultivates a community. Everything lived in Notion, Google, and ChatGPT — disconnected, manual, and scattered. We built her a unified AI-powered operating system: a digital chief of staff that orchestrates her multi-faceted life from a single place.

Read detailed case study →

Consumer App · Content Engine

Content at scale, every single day.

We built an end-to-end content production system that creates, publishes, and self-optimizes — daily, across platforms, without manual intervention. The system doesn't just produce content. It learns what performs, adjusts targeting by demographic and ICP, and compounds output over time.

Read detailed case study →

Membership Community · Platform Consolidation

Four tools collapsed into one OS.

A 350-member community was being managed across Airtable, Notion, Luma, Gmail, and more — scattered, duplicated, and impossible to scale. We built a single unified database that serves as both the member-facing front end and the operational backend for the team running it.

Read detailed case study →

AI Workforce Augmentation · Enterprise Collaboration

The Archer Agent Ecosystem.

Four purpose-built AI agents were deployed directly into an organization's existing Slack infrastructure — integrated alongside human team members with zero workflow disruption. Each agent carries a defined operational mandate, executes autonomously around the clock, and reports through the same communication channels the team already relies on. The architecture was designed around the organization's current operating model, not a replacement of it.

Read detailed case study →

Regenerative Agriculture · AI-Enabled Operations

Let the farmers farm.

A 500-acre operation converted from Monsanto commodity crop to a fully regenerative farm — zero pesticides, zero fertilizers, zero antibiotics. Grass-fed, grass-finished cattle raised the way nature intended. The problem wasn't the farming. It was everything around it: the website, the brand, the e-commerce platform, the direct-to-consumer logistics. We deployed AI agents to handle the business side so the operators could stay where they belong — on the land.

Read detailed case study →
Real Estate · Underwriting

A full underwriting ecosystem.

A private equity firm expanding into a new market faced a familiar constraint: hiring a data processor, underwriter, and additional analysts for a single geography doesn't scale. Instead of growing headcount, we deployed an AI-powered underwriting pipeline on top of the existing team — enabling them to 10x deal throughput without a single new hire.

Read detailed case study →
Memphis, Tennessee skyline
20x
increase in daily deal throughput — from 5–10 to 100+
0
new hires required for market expansion
Metro-wide
underwriting coverage across an entire city
Minutes
from listing to fully underwritten deal package

Data Acquisition

→MLS scraping agent — continuously scours active and off-market listings across the target metro
→Public records agent — aggregates tax assessments, insurance history, zoning, and lien data per property
→Neighborhood intelligence agent — pulls demographic, crime, school rating, and walkability data for contextual analysis

Underwriting Engine

→Comp analysis agent — identifies and weights comparable sales to generate automated valuations
→Deal scoring agent — underwrites each property against the firm's investment criteria and return thresholds
→Risk flagging agent — surfaces title issues, environmental concerns, and market anomalies before human review

Decision Layer

→Dashboard agent — renders underwritten deals in a single-glance display for rapid analyst triage
→Portfolio fit agent — evaluates each deal against existing portfolio concentration and exposure limits
→Alert agent — pushes high-conviction opportunities to the team in real time via existing communication channels

Business Impact

→Eliminates the headcount-per-market constraint — expand into new geographies without expanding payroll
→Existing team operates at 20x throughput — senior analysts focus on decision-making, not data assembly
→Full underwriting pipeline from MLS to deal memo runs autonomously — speed to offer becomes a competitive advantage
→Directly applicable to any acquisition-heavy firm — multifamily, industrial, retail, or mixed-use portfolios
Digital Manufacturing · Intelligent Quoting

From days to hours. From hours to revenue.

A digital manufacturing company processing CNC production jobs — brake housings, bevel gears, custom components — was bottlenecked at the quoting stage. Every inbound request required manual review of CAD drawings, material analysis, and production planning before a quote could go out. The result: days of turnaround, lost deals to faster competitors, and a quoting team buried in repetitive analysis. We deployed an AI-powered quoting engine that monitors CAD files, analyzes material specifications and production requirements, and generates accurate quotes in hours instead of days.

Read detailed case study →
Etch digital manufacturing project management dashboard
Days → Hours
quote turnaround time — from multi-day manual process to same-day delivery
3x+
increase in quoting volume — more quotes out the door, faster
Higher
conversion rate driven by speed-to-contact advantage
0
additional headcount on the quoting team — same team, exponentially more output

Intake & Triage

→Lead capture agent — monitors inbound emails, web forms, and RFQs to automatically route new quoting requests
→CAD analysis agent — ingests technical drawings and extracts part geometry, tolerances, and complexity scoring
→Material classification agent — identifies material type, grade, and sourcing requirements from specs and drawings

Quoting Engine

→Production planning agent — determines machine time, tooling, setup, and run estimates based on part analysis
→Cost modeling agent — calculates material cost, labor, overhead, and margin to produce an accurate quote
→Quote generation agent — assembles the final quote package with pricing, lead time, and production notes for client delivery

Pipeline & Conversion

→Speed-to-contact agent — ensures quotes reach prospects within hours, not days, dramatically improving conversion rates
→Follow-up agent — tracks open quotes, sends timely reminders, and escalates high-value opportunities
→Project tracking agent — manages status across categories: analyzing, submitted, in production, quality control, shipped

Business Impact

→Speed-to-quote becomes a competitive moat — the first accurate quote in a prospect's inbox wins the job
→Quoting team shifts from repetitive analysis to exception handling and relationship management
→Directly increases top-line revenue by converting more inbound demand without adding headcount
→Applicable to any job-shop or make-to-order operation — machining, fabrication, injection molding, or contract manufacturing
Enterprise Intelligence · Unified Knowledge Base

The organization's single brain.

Every department generates data. Almost none of it talks to the rest. Operations doesn't see what finance knows. Sales doesn't see what product is building. Customer service resolves issues that marketing is actively promoting. We built a unified intelligence layer — a single brain that ingests context from every department and makes it available to every decision, in real time, across the entire organization.

Read detailed case study →
Unified enterprise knowledge base architecture
7
departments unified into a single intelligence layer
Real-time
cross-departmental visibility — no more quarterly lag
1
source of truth — visible, editable, owned by the operator
Direct
impact on shareholder valuation through operational clarity

Revenue & Market Intelligence

→Sales intelligence agent — surfaces pipeline data, win/loss patterns, and deal velocity across the org
→Marketing performance agent — tracks campaign ROI, attribution, and content engagement in real time
→Customer service agent — aggregates support tickets, churn signals, and satisfaction trends into actionable insight

Operations & Finance

→Operations agent — monitors workflow efficiency, resource allocation, and bottleneck patterns across teams
→Finance agent — provides real-time visibility into cash flow, margins, and departmental spend against targets
→HR agent — tracks headcount, capacity, attrition risk, and hiring pipeline so leadership plans proactively

Product & Production

→Product intelligence agent — connects roadmap priorities to customer feedback, support volume, and revenue impact
→Production agent — tracks output cadence, quality metrics, and delivery timelines across teams
→Cross-functional synthesis agent — identifies dependencies and conflicts between departments before they surface as problems

Business Impact

→Frees executive bandwidth — leadership makes decisions from live data instead of waiting for department heads to compile reports
→Reduces organizational complexity — one unified brain replaces dozens of disconnected dashboards, spreadsheets, and status meetings
→Advances decision quality — every choice is informed by the full picture, not one department's slice of it
→Improves shareholder valuation — operational transparency, data-driven execution, and reduced overhead signal a well-run business to investors and boards
Healthcare · Agent Ecosystem

Seven agents. One operator. A full healthcare platform.

Olive Health needed a comprehensive resource for individuals and families navigating terminal illness — treatment center databases, research aggregation, educational content, and organic acquisition. Instead of hiring across six roles, we deployed seven AI agents that research, build, optimize, and publish autonomously.

Read detailed case study →
Olive Treatment Centers Database
80%
reduction in content production cost
7
roles replaced by AI agents
24/7
autonomous operation — no manual triggers
10x
faster page generation vs. traditional dev

Data & Product

→Web scraping agent — aggregates treatment center data across the country
→Research agent — synthesizes clinical studies, care options, and facility reviews
→Page builder agent — generates dedicated landing pages per treatment center

Acquisition & Growth

→SEO research agent — identifies high-intent keywords and content gaps
→Content drafting agent — writes long-form articles optimized for search
→Publishing agent — formats, schedules, and deploys content on cadence

Revenue & Retention

→Lead capture & nurture agent — qualifies inbound traffic and automates follow-up sequences

Business Impact

→Replaces a team of researchers, copywriters, SEO specialists, and a dev — operational savings north of $300K/yr at enterprise scale
→Content pipeline runs daily without human intervention — time your team reinvests in strategy, not production
→Automated lead capture turns organic traffic into qualified pipeline — revenue generation from day one
→Entire system is auditable, editable, and owned by the operator — no vendor lock-in
Executive Operations · Chief of Staff

From copy-and-paster to operator.

Kim runs her own business, supports her husband's business, manages a household, and cultivates a community. Everything lived in Notion, Google, and ChatGPT — disconnected, manual, and scattered. We built her a unified AI-powered operating system: a digital chief of staff that orchestrates her multi-faceted life from a single place.

Read detailed case study →
Kim — at her craft
5+→1
Notion, Google, ChatGPT, and other fragmented databases — disconnected, manual, and scattered — into one OS
15+
hours/week reclaimed from manual tasks
100%
visibility across business, home, and community
0
copy-paste workflows remaining

The Problem

→Multiple operating systems with no connective tissue
→ChatGPT used as a utility — copy, paste, reformat, repeat
→Household management, community coordination, and two businesses all siloed
→No system of record — just scattered files and manual effort

The System

→Unified operating system connecting business, household, and community workflows
→AI-powered chief of staff that routes, prioritizes, and surfaces what matters
→Integrated tools — no more copying between platforms
→One source of truth across every facet of her life

The Outcome

→Hours reclaimed every week from eliminated manual workflows
→Business and household run from the same system — nothing falls through
→Community engagement scaled without adding headcount
→From reactive to proactive — the system works ahead of her, not behind

Business Impact

→Eliminates the hidden cost of context-switching — your senior operators spend time leading, not formatting
→A single system of record means nothing falls through the cracks across departments, divisions, or personal priorities
→Scales operational capacity without hiring — the digital chief of staff handles coordination your team used to do manually
→Directly applicable to any executive managing multiple business units, teams, or stakeholder groups
Consumer App · Content Engine

Content at scale, every single day.

We built an end-to-end content production system that creates, publishes, and self-optimizes — daily, across platforms, without manual intervention. The system doesn't just produce content. It learns what performs, adjusts targeting by demographic and ICP, and compounds output over time.

Read detailed case study →
ReApp content grid
10x
content output vs. manual production
Daily
publish cadence — fully autonomous
0
manual steps from creation to publish
Live
auto-optimization based on engagement data

Production Pipeline

→Content generation agents produce TikTok carousels, slide sequences, and captions daily
→Each asset is tailored to specific demographics, product positioning, and ICP segments
→Automated formatting and scheduling — zero manual publishing steps

Auto-Optimization

→Performance tracking agent monitors views, engagement, saves, and shares in real time
→Optimization agent adjusts hooks, visuals, and CTAs based on what's converting
→Audience segmentation agent refines targeting by demographic and ICP response patterns

Scale & Distribution

→Multi-platform publishing agent distributes across TikTok, Instagram, and other channels simultaneously
→Content repurposing agent transforms top performers into new formats automatically
→Cadence management — consistent daily output regardless of team bandwidth

Business Impact

→Replaces a content team's production capacity — 10x output at a fraction of the cost
→Self-optimizing loop means content improves over time without strategic intervention
→ICP-specific targeting ensures every piece of content speaks to the right audience segment
→Applicable to any brand producing volume content — DTC, SaaS, services, marketplaces
Membership Community · Platform Consolidation

Four tools collapsed into one OS.

A 350-member community was being managed across Airtable, Notion, Luma, Gmail, and more — scattered, duplicated, and impossible to scale. We built a single unified database that serves as both the member-facing front end and the operational backend for the team running it.

Read detailed case study →
WGM HQ Control Panel
5→1
platforms consolidated into one operating system
350
members managed from a single database
100%
pipeline visibility — leads to conversion to nurture
0
time spent jumping between disconnected tools

Member-Facing Front End

→Centralized resource hub — members access everything from one place
→Event management and registration without jumping to Luma or external tools
→Community content and updates surfaced automatically, not manually distributed

Team Operations Backend

→Lead pipeline management — track, score, and convert from one view
→Member nurture sequences triggered automatically on join
→Team-wide visibility into every stage of the member lifecycle

Unified Brain

→One central database replaces Airtable, Notion, Luma, and Gmail
→Every team member sees the same source of truth — no conflicting spreadsheets
→Pipeline, content, events, and member data all interconnected

Business Impact

→Eliminates platform-switching overhead — your team operates from one screen, not five tabs
→A unified brain means every team member has full context without asking or searching
→Pipeline management and member nurturing live in the same system — nothing falls between the cracks
→Directly applicable to any organization managing communities, cohorts, or membership programs at scale
AI Workforce Augmentation · Enterprise Collaboration

The Archer Agent Ecosystem.

Four purpose-built AI agents were deployed directly into an organization's existing Slack infrastructure — integrated alongside human team members with zero workflow disruption. Each agent carries a defined operational mandate, executes autonomously around the clock, and reports through the same communication channels the team already relies on. The architecture was designed around the organization's current operating model, not a replacement of it.

Read detailed case study →
4
autonomous roles deployed — zero change management required
24/7
operational coverage across content, SEO, outreach, and intelligence
0
new platforms introduced — fully embedded in existing infrastructure
<1 wk
from deployment to production output

Lana — Content Operations

→Produces executive-level content in the organization's voice across LinkedIn, email, and web
→Enforces brand and messaging consistency at scale — eliminates review bottlenecks
→Maintains daily publishing cadence without consuming senior leadership bandwidth

Pam — Search Distribution

→Operates an autonomous SEO distribution engine across high-authority channels
→Identifies and executes placement opportunities that would typically require a dedicated specialist
→Drives organic visibility without incremental headcount

Cyril — Pipeline Development

→Executes personalized LinkedIn outreach daily — on-brand, on-message, at scale
→Generates qualified top-of-funnel activity so revenue teams focus on conversion, not prospecting
→Delivers consistent pipeline coverage independent of team capacity or availability

Framboise — Intelligence & Enrichment

→Enriches every lead and contact with contextual intelligence before engagement
→Ensures sales and partnership conversations begin fully informed — reducing ramp time per interaction
→Operates passively — no manual triggers, results surface automatically in existing workflows

Business Impact

→Extends organizational capacity without extending payroll — four functional roles delivered at a fraction of a single FTE
→Zero adoption risk — agents operate inside existing collaboration infrastructure with no retraining or migration
→Architecture adapts to the organization's operating model, not the inverse — designed for minimal change management
→Scales horizontally across departments and business units — applicable to any team leveraging Slack, Teams, or equivalent
Regenerative Agriculture · AI-Enabled Operations

Let the farmers farm.

A 500-acre operation converted from Monsanto commodity crop to a fully regenerative farm — zero pesticides, zero fertilizers, zero antibiotics. Grass-fed, grass-finished cattle raised the way nature intended. The problem wasn't the farming. It was everything around it: the website, the brand, the e-commerce platform, the direct-to-consumer logistics. We deployed AI agents to handle the business side so the operators could stay where they belong — on the land.

Read detailed case study →
Bretz Farms regenerative farm hero website
500
acres converted from commodity crop to regenerative agriculture
0
pesticides, fertilizers, or antibiotics — fully regenerative operation
Full stack
website, e-commerce, and DTC platform built by AI agents
100%
operator time returned to farming — not marketing or web development

Brand & Digital Presence

→Website generation agent — built a complete brand presence from the ground up, reflecting the farm's regenerative mission
→Content production agent — creates educational and marketing content around regenerative practices, animal welfare, and sustainability
→Visual asset agent — produces photography-driven layouts, product imagery, and social assets without a creative agency

E-Commerce & DTC Operations

→Storefront agent — built and manages a direct-to-consumer e-commerce platform for regenerative beef
→Product catalog agent — maintains cuts, pricing, availability, and seasonal inventory automatically
→Order management agent — handles fulfillment workflows so the team focuses on production, not logistics

Growth & Community

→SEO and discovery agent — drives organic traffic from consumers searching for regenerative, grass-finished beef
→Email nurture agent — builds relationships with customers through education-first communication
→Impact storytelling agent — translates farm data into narratives that resonate with conscious consumers

Business Impact

→The frameworks aren't only for revenue — they build any deliverable, including the ones that matter most
→Operators stay in their zone of genius while AI handles brand, digital, and commerce — applicable to any founder-led business where the core skill isn't marketing
→A complete DTC channel built and managed without hiring a marketing team, a web developer, or an e-commerce manager
→Proves the model works beyond tech and finance — regenerative agriculture, mission-driven businesses, and social enterprises all benefit from the same architecture

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