Agentic Arrow · AI-native systems for small business

Agents don't replace people. They replace the boring parts of people's jobs.

I build systems where the right thing happens naturally. Your best operator's judgment, wired into software that runs while you sleep.

Your data

Your domain expertise, captured once and compounding forever. It never walks out the door.

Your voice

Client comms, proposals, and reports that sound like you wrote them, following the rules your best operator already uses.

Your advantage

You own the infrastructure and the data. Not a subscription that disappears when you stop paying for it.

ES CASE 01 English Stone · Hardscape & masonry, Minnesota

The estimator that prices like the owner.

A rep walks the property, takes measurements, talks through the job. The estimator takes it from there — picks the products, calculates quantities and labor, applies the company’s real margin rules, and writes the branded proposal as HTML and PDF. Estimates that used to eat a rep’s evening come back in minutes, priced with the owner’s own discipline.

Field notes inThe owner’s rulesHTML + PDF out

agentic-arrow: ~/deployed/es-estimator ✓ running

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Capabilities

Product selection from the company’s own catalog and pricing rules
Quantities and labor calculated from field measurements
Margin protection applied to every line, every time
Branded proposal — HTML + PDF — generated and filed
Runs from the rep’s phone, same-day turnaround

Live · In production

ES CASE 02 English Stone · Same client, second system

Live nursery inventory, matched to the jobsite.

Crews used to design plantings around what the nursery probably had. This one reads live availability from two regional wholesale suppliers and matches it to the jobsite — sun, exposure, mature size — then hands the crew a pick list they can buy against the same day. Stock first, design against truth.

2 suppliers, read liveSite matchCrew pick list

agentic-arrow: ~/deployed/plantings ✓ running

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Capabilities

Live stock pulled from two wholesale nursery suppliers
Matched to site conditions — sun, exposure, mature size
Crew-ready pick list with quantities
Refreshes as inventory moves — no stale catalogs

Live · In the crews’ hands

PCA CASE 03 PCA · National trade association — painting contractors

Four platforms. One member profile.

Membership lived in one system, course streaming in another, email in a third, events in a fourth — four honest platforms that had never met. The build joins them into a single profile per member: who they are, what they watch, what they open, where they show up. Then it turns every event into an action list — who’s coming, who went quiet, who’s ready for more.

4 platforms1 profileEvent actions

agentic-arrow: ~/deployed/pca-members ✓ piloting

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Capabilities

Membership, streaming, email, and event platforms unified per member
Engagement history assembled from real behavior, not survey answers
Event actions — who to call, who to re-engage, who to invite deeper
Segments that rebuild themselves as the data moves

Pilot · Built on live data

AH CASE 04 Aleph Holdings · Home-services holding company

Every rep coached every day, by the company’s own playbook.

Reps record their field appointments. Overnight, the pipeline pulls every recording, transcribes it, matches it to the calendar, scores it against the company’s own playbook, and publishes a branded coaching report to the rep’s phone before the next morning. Nobody runs it. It runs.

Sales CoachGAM CoachL10 CoachCanvass Coach

agentic-arrow: ~/deployed/aleph-ai ✓ nightly

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The Suite

Sales Coach — every recorded appointment scored against the eight-section sales model
GAM Coach — manager 1:1s graded against the goal-alignment rubric
L10 Coach — leadership meetings scored on facilitation, nine sections
Canvass Coach — door-to-door shifts coached on the company’s knock framework
Nightly: pull → transcribe → match → score → publish. Zero human steps.

Live · In production · Nightly

Built by an operator, led by practice.

Jason Paris

Builder & Operator · Vice Chair, Aleph Holdings

Every system above runs inside businesses I help operate — painting crews, hardscape estimators, field sales teams. I don’t sell what I haven’t already survived using. When you engage Agentic Arrow, the person on the call is the person who builds it.

Background

Vice Chair of Aleph Holdings — the home-services holding company where the coaching engine runs nightly
Builds and deploys the full stack himself — the agents, the pipelines, the reports on the rep’s phone
Coach before technologist: a decade of formation-first coaching is the operating system behind the architecture
Everything offered outside was deployed inside first — and is running today

Husband to AmyFather of fiveMinnesotaUltrarunnerPilotFollower of Christ

Operator’s perspective

“AI only creates value when it’s wired into how a business actually runs. Build the architecture that makes the right thing happen naturally.”

— Jason Paris · Agentic Arrow

The builder is a message away.

No sales layer, no account manager — the inbox goes to the person who ships the systems.

jason@agentic-arrow.com

Three principles run through my work

Identity before achievement.

Who you become matters more than what you accomplish. The same holds for a business: what it is decides what it can do.

Systems over willpower.

Build the architecture that makes the right thing happen naturally. Discipline is fatiguing; structure isn’t.

A catalytic spark over brute force.

One well-placed system compounds. The goal is leverage, not effort.

Most organizations use AI.
Now wire it in.

Agents don't replace people. They replace the boring parts of people's jobs.

Case studies. All four running right now.

The estimator that prices like the owner.

Live nursery inventory, matched to the jobsite.

Four platforms. One member profile.

Every rep coached every day, by the company’s own playbook.

Built by an operator, led by practice.

Got one workflow that's bleeding hours? Let's aim there first.