Real Builds. Practical Systems. No Hype.

AI-powered CRM built on Base44, delivering daily AI briefings at 4:30 PM, automated risk assessment, and auto-filled client reports. Deployed across three Netlify subdomains (crm., biz., intake.applied-intelholdings.net), it centralizes client data and surfaces daily priorities without manual entry across departments.

What it shows: Shows AIH deploying multi-subdomain AI infrastructure with automated briefings and risk scoring — proving practical, daily-use automation beyond a demo app.

AI-powered HR onboarding tool priced at $299–$499/month, guiding new hires through documentation, policy acknowledgment, and setup automatically. Built for small businesses without dedicated HR staff, it reduces manual paperwork while giving owners a repeatable, trackable onboarding process from day one.

What it shows: Shows AIH building sellable SaaS products, not just internal tools — proving ability to price, package, and pitch AI for small-business HR operations.

A full operating system for mobile crisis teams: shift check-in with vehicle and equipment logging, triage and risk assessment, dispatch with response-time capture, encounter reports, safety plans, scheduled follow-ups, staff safety checks, a referral resource directory, training and credential tracking, and grant reporting that pulls diversion and response-time numbers straight from documented work. Twenty-six connected record types, with a full audit log behind them.

What it shows: AIH building a compliance-heavy operational system end to end - the kind where documentation, supervisor visibility, and audit trail matter as much as the feature list.

A self-serve hybrid cloud security readiness assessment. 28 questions across 7 weighted domains — foundation and platform hardening, identity and access, configuration and change control, software supply chain, automation and patching, logging and monitoring, incident response. Each answer scores 0–5, domains are weighted by risk, and the result is a single 0–100 score with a risk tier: Mature, Developing, Basic, or Critical Gap. It also names the two weakest domains, so the output is not just a number — it is where to start. Deliberately vendor-neutral and industry-agnostic: it recommends control categories, never products.

What it shows: A complete lead-generation funnel built end to end — a free assessment that scores itself, captures the contact after completion rather than before, writes the lead and score straight into the AIH CRM, and emails the result. Paired with a downloadable blueprint and a scored rubric.

Call analysis and coaching for sales teams. Recordings go in; transcription and AI scoring come back — talk ratio, objections raised and handled, and a coaching score per call, so a manager reviews what the numbers flag instead of listening to everything. Multi-tenant with a super-admin layer, so one deployment serves several teams. Currently in build: the app, branding, and tenancy are done, with transcription and the scoring engine being wired in before launch.

What it shows: AIH taking a product from idea to branded, multi-tenant application — and being straight about what is finished and what is not.

A home inventory tool letting users submit item details through an intake form, generating an organized inventory record for insurance, estate planning, or moving purposes. It reduces the manual effort of cataloging belongings and creates a structured, exportable record for personal or insurance use.

What it shows: Shows AIH turning a tedious personal task into a simple guided intake — demonstrating consumer-facing AI tool design beyond business operations.

An intake and evidence-organization tool for credit dispute cases. Clients submit dispute details via Tally form; the system organizes supporting documentation into Google Drive and pulls web references to help build a dispute file — reducing the manual paperwork burden on individuals disputing credit report errors.

What it shows: Shows AIH applying intake-to-document automation for consumer financial disputes — organizing evidence that would otherwise take hours to assemble manually.

Turns one idea, post, or video into ready-to-use content: captions, hooks, CTAs, hashtags, image prompts, scripts, and a posting schedule for LinkedIn, Instagram, Facebook, X, Threads, and TikTok. Built for creators, brands, coaches, nonprofits, and local businesses using intake forms, AI, Google Docs, Sheets, and email drafts.

What it shows: How one idea becomes platform-ready content with review steps built in, rather than a wall of generic AI output.

Review response and local-search tracking for small businesses. Reviews come in tagged by issue - service, wait time, price, staff, billing, product - and the app drafts a reply in the owner's saved brand voice, with banned phrases and a signature line honored. Low ratings route to approval or escalation instead of auto-sending. Alongside it, weekly Google impressions, call clicks, website clicks, and direction requests are tracked against a ranked list of fixes.

What it shows: AIH keeping a human in the loop where it counts - the AI drafts, the owner approves, and every edit is measured so the drafts get closer to their actual voice.

Custom sites built, deployed, and handed over so the owner can run them. Static builds on Netlify with a built-in content manager, so copy, pricing, and pages are edited in a browser instead of by emailing a developer. Custom domains, DNS, form handling, redirects, and multi-subdomain setups included. This site is one of them — and so is the CRM stack running across three subdomains.

What it shows: AIH ships and maintains production web infrastructure, not just automations — including the handover that lets a non-developer keep the site current without breaking it.

A custom GPT helping individuals find local community resources — housing, food, healthcare, financial assistance — based on their situation. Built from frontline crisis-response experience, it guides users to the right service faster than manual searching, shortening the gap between a person's need and an actual referral.

What it shows: Shows AIH translating real crisis-response expertise into an accessible AI tool — proving domain knowledge can become a practical, sharable product.