Custom AI / Custom Software / Custom Websites
AI That Thinks Beyond Patterns
Practical custom AI and software for the work people already recognize: missed follow-up, paperwork, document chasing, audit prep, scheduling, reporting, and decisions that need a human in control.
ScrollCustom AI
Built Around Your Process
Workflow Automation
Remove manual handoffs and reporting drag with systems that run themselves.
Hybrid AI
LLMs for language, proprietary non-LLM models for precision and forecasting.
Integration-First
Wired into your CRM, EHR, ERP, and legacy tools through real APIs.
Workflow Design + Websites
The Website Becomes The Front Door
A forward-facing website should not stop at looking credible. It should catch the request, structure the work, route the handoff, and support the serious operations behind the business.
Step 1
Website and social intake
Public pages, local landing pages, forms, portals, and campaign links collect the request in the right structure.
Step 2
Traditional AI triage
AI extracts details, classifies the work, finds duplicates, drafts summaries, and routes the next task.
Step 3
Business processing
The system creates folders, checklists, assignments, reminders, packet builders, and status dashboards.
Step 4
SolaceSentry gate
SolaceSentry flags risky claims, missing evidence, policy gaps, privacy concerns, and escalation needs.
Step 5
Human-approved output
The business sends a reviewed quote, packet, referral update, status message, or report with proof behind it.
Indiana
Statewide manufacturer audit evidence
Indiana suppliers often need clean proof across plants, shifts, vendors, inspections, and training records without rebuilding the packet for every customer audit.
View local workflowGreater Indianapolis
Healthcare and life-sciences intake
Indy teams need fast intake for referrals, support questions, trial interest, and vendor packets without weakening compliance controls.
View local workflowGreater Indianapolis
Legal and insurance document handling
Legal and insurance work around Indy depends on documents, deadlines, privileged information, policy language, and review discipline.
View local workflowChampaign-Urbana
Agtech field-trial and grower intake
Champaign-Urbana agtech teams need field-trial data, grower requests, sensor evidence, and seasonal follow-up organized quickly.
View local workflowDanville and Vermilion County
DACC and Vermilion workforce retraining
Danville workforce programs need to match job seekers to training, credentials, support services, and employer needs.
View local workflowAnderson and Madison County
Trucking proof-of-delivery workflow
Anderson logistics teams need proof-of-delivery, exception, and billing evidence to move cleanly from driver to office.
View local workflowMattoon-Charleston and Coles County
Retail and ecommerce inventory-to-customer workflow
Regional retail and ecommerce teams need product questions, stock issues, returns, and social messages turned into trackable work.
View local workflowWatseka and Iroquois County
Rural grant and incentive evidence workflow
Rural communities need grant writers and program staff to collect evidence, eligibility, budgets, and public updates cleanly.
View local workflowPlain-English Examples
What This Looks Like In Real Life
Most people do not need an AI lecture. They need to see how ordinary work changes: fewer missed handoffs, less retyping, cleaner evidence, faster follow-up, and better decisions with people still in charge.
Contractors and field service
Missed calls become scheduled jobs.
Old way
A customer calls while the crew is in the field. The message lands in voicemail, a text thread, or a notebook. By the time someone follows up, the customer has called another company.
What we build
A lead intake and quote follow-up workflow that catches calls and forms, asks the right questions, creates a job folder, stores photos, nudges the customer, and prepares the invoice packet.
What changes
The owner sees every open lead and job in one place. Office staff spends less time hunting details. Customers get faster answers.
Manufacturers and suppliers
Audit prep stops living in binders.
Old way
Inspection logs, training records, supplier documents, and corrective actions sit in spreadsheets, email, paper forms, and shared drives.
What we build
A quality evidence workspace with inspection records, NCR/CAPA tracking, supplier document status, training proof, and one-click audit packet exports.
What changes
Customer audits become easier to prepare for, quality issues stay visible, and the same proof can be reused instead of rebuilt every time.
Law firms
Clients stop sending scattered documents.
Old way
Clients email attachments, call for status, miss document requests, and staff spend hours chasing pieces before an attorney can review the matter.
What we build
A supervised client portal with intake forms, upload checklists, reminders, matter status, and attorney-controlled review and release gates.
What changes
Staff can see what is missing, clients know what to do next, and legal-sensitive work stays under the firm attention it deserves.
Clinics and care teams
Paperwork moves before the appointment.
Old way
Phones, intake forms, reminders, portal messages, and insurance details compete for the same front-desk attention all day.
What we build
A HIPAA-aware administrative workflow for intake packets, reminders, document routing, message triage, and staff review before anything sensitive is acted on.
What changes
The team spends less time retyping and sorting routine information, while clinical judgment and patient decisions stay with people.
Retail, nonprofits, and offices
The follow-up work finally has a home.
Old way
Customer requests, donor notes, event tasks, inventory questions, and employee reminders are spread across inboxes and memory.
What we build
A small operations dashboard that tracks requests, drafts routine replies, flags stale follow-ups, and turns recurring work into checklists and reminders.
What changes
People stop relying on memory for repeatable work. Owners can see what is waiting, what is late, and what needs a human decision.
Families and personal life
Life admin becomes less overwhelming.
Old way
Appointments, care notes, school forms, home records, bills, and family reminders live in texts, folders, calendars, and someone's head.
What we build
A private personal workflow with document organization, appointment prep, reminders, care notes, question lists, and human-approved summaries.
What changes
The person carrying the mental load gets help staying organized without handing private decisions to a generic chatbot.
Why Detailed In Design Is Different
We build the working system around the job.
A generic AI subscription waits for someone to prompt it, paste context into it, check it, and move the answer somewhere useful. Our work connects the approved data, the software surface, the workflow logic, the AI layer, and the review step.
A workflow, not a chat box
The system knows the steps, users, files, approvals, and handoffs. People do not have to keep explaining the business from scratch.
AI only where it belongs
Some jobs need language help. Some need rules, forecasting, search, dashboards, or integrations. We choose the tool that fits the work.
Humans stay in control
Important outputs can require review, approval, audit logs, and rollback. The point is better work, not blind automation.
Research Signals
The value comes from fitting AI to real work.
17-20%
of U.S. businesses reported using AI in recent Census business survey waves, with more expecting to use it within six months.
58%
of small businesses in a U.S. Chamber report self-identified as using generative AI, up from 23% in 2023.
14%
average productivity lift in an NBER customer-support AI study, with the largest gains for newer and less-experienced workers.
3x
AI high performers in McKinsey research were nearly three times as likely to redesign individual workflows.
These examples are not promises that every business gets the same result. They show the pattern we build around: map the work, protect the data, automate the repeatable parts, keep human review where it matters, and measure the result.
Custom Software
Quoted As Proof
Custom Websites
That Carry The Brand
The Network
One Network. Every Product Connected.
Each product and subdomain is a node in the same system — hover the network to explore, or view the full catalog.
Proof
Mapped. Quoted. Measured.
Mapped
We diagram your process before writing code — the build follows the map, not a template.
Quoted
Fixed, transparent scope. You see the smallest reliable build and what it costs, up front.
Measured
Every system ships with the metric that proves it worked. Outcomes, not output.
Partnership
Begin The Work
Share the workflow, systems, data boundaries, and timeline so we can scope the smallest reliable build.
Common Questions
What is custom AI development?
Custom AI development means building software and AI around a specific job in your business or personal workflow. Instead of asking you to paste information into a generic chatbot, we map the work, connect approved data, add the right automation, and keep human review where it matters.
Can you give real examples in plain English?
Yes. A contractor can use a missed-call and quote follow-up system. A manufacturer can use an audit packet builder. A law firm can use a client document portal with attorney review gates. A clinic can use intake and reminder workflows. A family caregiver can use a private organizer for appointments, records, reminders, and questions for care visits.
How is your AI different from buying a chatbot subscription?
A chatbot subscription is a blank tool that waits for someone to explain the work, paste context, check the answer, and move it somewhere useful. Detailed In Design builds the surrounding system: workflow steps, data boundaries, integrations, dashboards, review controls, audit trails, and success measurements.