Build the AI System Your
Company Actually Needs.

Build the AI System Your Company Actually Needs.

Keystone studies your workflows, files, employees, tools, and desired outcomes — then designs practical agentic AI systems that reduce manual work, organize chaos, and keep humans in control.

Typical response: 1 business day

Trusted by organizations building smarter digital workflows

AGENTIC AI IN PRACTICE

See What Agentic AI Can Do for Real Work

Practical examples of AI systems that turn messy records, handoffs, and decisions into review-ready workflows.

DOCS

INTAKES

PROFILES

Care Intelligence Hub

INPUTS

Packets / Notes / Forms / Staff Updates

SYSTEM

Extract -> Reconcile -> Guide

SUMMARY

Creates living client profiles from care records, forms, and staff updates—surfacing key facts, gaps, protocols, and searchable context.

RESULT

STORE

MARKETING

OPERATIONS

Smart Commerce Growth Agent

INPUTS

Orders / Customers / Products / Inventory

SYSTEM

Predict -> Recommend -> Automate

SUMMARY

Turns orders, customer behavior, product data, and inventory into smarter recommendations, campaigns, and growth actions.

RESULT

CLAIMS
POLICIES

REVIEW

Insurance Claims Intake Agent

INPUTS

Claim Forms / Policy Docs / Customer Notes

SYSTEM

Extract -> Compare -> Route

SUMMARY

Turns claim packets, policy language, and customer notes into review queues with missing items, next steps, and approval checkpoints.

RESULT

CLIENTS

DOCS

TASKS

Client Work Router

INPUTS

Requests / Notes / Docs / Follow-ups

SYSTEM

Classify -> Route -> Prepare

SUMMARY

Organizes client requests, notes, documents, and follow-ups into clear next steps for the right person.

RESULT

FIELD
PHOTOS
SCHEDULES

Jobsite Coordination Agent

INPUTS

Job Notes / Photos / Estimates / Updates

SYSTEM

Capture -> Organize -> Flag

SUMMARY

Turns field notes, photos, estimates, schedules, and subcontractor updates into project records and action items.

RESULT

CONTENT
APPROVALS

DELIVERY

Agency Production Workflow Agent

INPUTS

Briefs / Assets / Feedback / Deadlines

SYSTEM

Organize -> Draft -> Track

SUMMARY

Turns briefs, feedback, assets, approvals, and publishing tasks into organized production workflows with clear next steps.

RESULT

How we work

Study First. Build Second.

Before we recommend software, agents, dashboards, or automations, we study the real workflow so your company does not burn money on tools it does not need.

Step 01
Study the Workflow

We map how work actually moves through your company: people, files, tools, handoffs, delays, decisions, and desired outcomes.

Step 02
Define the Right System

We identify what AI should assist with, what humans should control, what data must be structured, and what should not be automated.

Step 03
Build the Pilot

We build a focused first version around one valuable workflow, with review points, permissions, logging, and employee feedback.

Step 04
Expand and Improve

Once the system proves value, we refine prompts, connect tools, add workflows, improve data quality, and support the system over time.

Not sure where AI fits yet?

INDUSTRIES

Built For Messy Work Behind the Scenes

Keystone helps teams turn scattered documents, records, handoffs, approvals, and repeated tasks into practical AI-supported workflows.

* Every system is shaped around your workflow, your data, your team, and your approval rules.

PROOF & CREDIBILITY

Practical Systems Designed Around Real Workflows

Examples of agentic systems shaped around documents, data, handoffs, approvals, and human review.

01
Confidential Care Operations Platform
CARE OPS
CLIENT PROFILES
HUMAN REVIEW
30

sec

care context

Fast answers from structured care data.
Problem
A confidential care organization needed a faster, more reliable way to organize client information spread across documents, notes, intake records, photos, and profile updates.
Approach:
Keystone built an AI-assisted care operations platform that turns scattered client data into structured profiles, reviewable summaries, caregiver tools, and admin workflows.
Outcome:
Care teams can quickly find client-specific answers, maintain clearer documentation, and spend less time searching through disconnected records.
02
Website Production OS
Case study
AGENCY OPS
53%

faster
launch path

Less time lost to setup, configuration, and handoffs.
Problem
A leading website development company needed a faster, more reliable way to move projects from intake to production, QA, and launch without so much repeated setup and manual handoff.
Approach:
Keystone mapped the production workflow and designed a Website Production OS around intake structure, content support, WordPress setup, template deployment, QA tracking, and launch readiness.
Outcome:
Projects can move through production with clearer steps, fewer missed details, and better visibility from intake to launch, giving the team more time for client-specific polish.
03
Sales/Marketing Automation System
ECOMMERCE
MARKETING AI
14%

weekly
revenue lift

Measured after improving raffle recommendations and follow-up timing.
Problem
A volunteer fire department wanted to increase raffle sales without overwhelming supporters or creating more manual work for the administrative team. Customer interest, raffle history, timing, and communication etiquette all mattered.
Approach:
Keystone studied the raffle sales workflow and proposed intelligent automations that match supporters with the raffles they are most likely to care about, while keeping outreach respectful, reviewable, and properly timed.
Outcome:
The proposed workflow showed a 14% week-by-week revenue increase and a 75% reduction in administrative time spent managing raffle outreach, follow-up, and customer communication.

What our partners say

Our stack
open AI
claude

START WITH A WORKFLOW FIT CHECK

Let’s talk about your workflows

Tell us where work slows down — documents, handoffs, approvals, follow-ups, reporting, or repeated admin tasks. We’ll help you figure out whether an agentic system is worth building.

30 minutes to explore your automation opportunities. No pitch, no pressure — just a focused conversation about your workflow challenges.

Request a fit check

Share what your team is trying to simplify, automate, or organize. We’ll review it and follow up with a practical next step.

We’ll only use this information to review your request and follow up.

FAQ

Common questions

We’re happy to help. Reach out to discuss your needs, challenges, and where AI could fit inside your workflow.

An agentic AI system is a workflow system where AI can help gather information, analyze context, prepare next steps, draft responses, route work, or trigger actions based on defined rules. The important part is that the system is designed around a real business process, not just a generic chatbot. Keystone focuses on practical agentic systems with human review, clear limits, and useful outputs.

A chatbot usually waits for someone to ask a question. An agentic AI system is designed to support a workflow. It can work with files, forms, records, approvals, tasks, and tools. It can prepare work, flag issues, suggest next steps, and help move a process forward while still giving your team control over important decisions.

Not necessarily. Many companies know they are wasting time but do not know exactly where AI fits. That is why Keystone starts with workflow discovery. We help identify the best first use case instead of forcing your business into a tool or automation that may not be worth building.

Yes. Most agentic systems should work with the tools your team already depends on, such as CRMs, spreadsheets, email, document storage, forms, project management tools, ecommerce platforms, calendars, and internal databases. The goal is to connect the right parts of your workflow, not make your team abandon everything at once.

We define human review points before the system is built. That may include approval before messages are sent, staff review before records are updated, confidence checks before recommendations are used, or escalation paths when the system is unsure. Keystone designs AI to assist the team, not silently make important business decisions without oversight.

That is common. A failed AI experiment does not always mean AI is useless for your business. It often means the workflow was not mapped clearly, the wrong use case was chosen, the data was messy, or the system did not fit how the team actually works. Keystone can review what was tried, identify what went wrong, and recommend a more practical path forward.

Yes, but we avoid building agents just because the term sounds exciting. We first define the job the system needs to do, the information it needs, the tools it should access, the limits it should follow, and where humans need to review the output. If an AI agent is the right fit, we build it as part of a larger workflow system.

A good first project is usually a workflow that is repeated often, uses information from multiple places, creates delays for staff, and has a clear review or approval step. Examples include intake review, document processing, customer support triage, sales follow-up, reporting summaries, task routing, and internal knowledge lookup.

That is not the goal. Keystone builds systems that help employees move faster, reduce repetitive work, and make better use of company information. The strongest systems usually keep people involved in judgment, approvals, relationship management, and exceptions while AI handles organizing, drafting, summarizing, routing, and preparing work.

Keystone is a strong fit if your team has messy workflows, scattered files, repeated manual steps, disconnected tools, or uncertainty about where AI could actually help. If you need a practical system instead of another generic AI tool, the first step is a fit check so we can understand the workflow and recommend the right direction.

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