Opportunities › Automation for legacy software without APIs › Proposed app
Steadyhand
Screen-reading agents that finish legacy portal work, with approvals and audit trails
- Score
- 33
- confidence 58
- Evidence
- 13
- items on the page
- Rivals
- 5
- named in sources
- First version
- 60 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2003
- Mature market · AI estimate
ScreensConcept
Desktop app: Operations teams approve agents with evidence, replay audit trails and teach workflows—dense approval gates and detailed audit work requiring careful desktop review. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Today's runs
Payer eligibility check126
About this appAI proposal
Steadyhand runs software agents that work through legacy desktop apps, payer portals, EHRs and remote desktops the way a person would: they look at the screen, decide the next step, act, and check the result. No API, selectors or custom integration is needed.
Built for operations teams in healthcare, accounting and other regulated fields. Each workflow has rules that must hold, such as a patient ID matching before a claim is filed. If a rule fails or the screen looks unexpected, the agent stops and asks a person instead of continuing silently.
Every run is recorded step by step, so a reviewer can replay what the agent saw and did. Teams get a clear trail for compliance, and fewer hours lost to re-keying data between systems and spreadsheets.
- Tagline
- Automation that stops when something looks wrong.
- Voice
- CalmPrecisePlainCareful
- Why this name
- A steady hand is careful and sure, which is what regulated teams want from an agent working on sensitive records.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Works from the screen alone
Agents read what is displayed and act on it. Desktop apps, web portals and remote desktops all work without DOM access or integrations.
No member yet
Rules that must hold
Define checks like matching IDs or totals. A run that breaks a rule halts before anything is saved or submitted.
No member yet
Approval gates
Require a named person to approve risky steps, such as submitting a claim, with the agent's evidence shown beside the request.
No member yet
Recovery from surprises
Pop-ups, slow pages and moved buttons are handled by re-reading the screen and retrying, or by escalating to a person.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1F2A33Slate Ink · text#F6F3ECPaper · surface#0F6B6BDeep Teal · primary#D98A1FAmber Flag · accent, warnings#4C8A5BMoss · success data#B0432FBrick · errors
Typography
Aa
Steadyhand
PricingAI proposal
The material gives no competitor prices. It says pricing is per agent runtime and workflow volume, with separate dedicated and enterprise plans. These tiers are a starting point to test.
Pilot
Free
- 1 agent
- 50 runs a month
- 7-day run replay
Team
$499 a month
- 3 agents
- 2,000 runs a month
- Rules and approval gates
- 90-day audit trail
Dedicated
Contact us
- Dedicated environment
- Custom run volume
- Long audit retention
- Security review support
Would you pay Team · $499 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- No loop in the product. Steadyhand runs behind the scenes inside a team's own operations. Its output is internal, so it spreads only through sales, content and referrals from compliance or operations leaders.
- Do they become customers?
- Nobody outside the buyer's team sees it. Test whether outreach to dental and billing practices turns paid pilots into recurring contracts.
- First customers
- Revenue-cycle and billing managers at small dental and medical groups, 5 to 50 staff, who key data into payer portals and a practice system every day.
- Where to reach them
- Direct outreach: Contact practice and billing managers, and offer to automate one portal task during a paid pilot.
- Industry communities: Post workflow write-ups in dental-ops and medical-billing forums and groups.
- Billing service firms: Partner with outsourced billing companies that handle many clients' portal work.
- First milestone
- Five paying practices running one eligibility or billing workflow weekly for a month, with less than 2% of runs needing manual fixes.
Why people already pay for this
- VerifiedHacker News post received 44 points and 26 comments
- Public claimMany important applications used in regulated industries lack usable APIs or have incomplete ones
- Public claimRPA fails when interfaces are not perfectly predictable
- Public claimProduction automation of sensitive workflows requires reliability, state tracking, and verification that existing tools struggle to provide
- Public claim
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Vision model accessHosted vision-language model APIAgents need a model that reads screenshots and chooses actions.
- This app · Agent runtimeIsolated virtual desktop and browser workersEach run needs a sandboxed machine to open legacy apps and remote desktops.
RisksAI inference
- AIVision agents can misread a screen. Rules and approval gates reduce silent errors, but production-level reliability on real portals is unproven and must be measured.
- RegulatoryHandling patient or financial data brings HIPAA-style duties, vendor agreements and security reviews that can slow the first sales.
- PlatformPortals may forbid automated access in their terms or block it, and the screen-only approach may be slower than session-based methods.
- TechnicalRunning remote desktops and desktop apps in isolated sandboxes at low cost is hard. Latency and run cost may erode margins.
- CommercialRivals use faster, deterministic session-based methods. Buyers may prefer them wherever a web portal allows it.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.