The process does not fit.
Packaged software imposes its workflow. Teams add manual steps to handle how the business actually works.
An enterprise software factory that uses AI and experienced engineers to build, run, and continuously improve custom business systems.
Critical work ends up spread across a core system, disconnected tools, and spreadsheets. Every change must preserve the operations already running.
Packaged software imposes its workflow. Teams add manual steps to handle how the business actually works.
A custom build needs requirements, integrations, data migration, testing, and people accountable for launch.
Once live, permissions, reports, business rules, and integrations keep changing. A fast first build is only the start.
The customer needs a system that fits—and a team responsible for keeping it working.
AI helps write and revise the code. Handrail brings the delivery process, operating platform, and engineers who take it into production.
Map workflows, data, users, and acceptance criteria.
Use AI and engineers to implement the agreed system.
Test changes and review readiness before release.
Host, support, and deliver the next approved change.
Version control · CI/CD checks · Environment policies · Release records · Runtime diagnostics
Customer feedback returns to the next build ↵Custom where it matters. The customer’s workflows, integrations, and operating rules.
Repeatable where it helps. The process for building, testing, releasing, and supporting them.
A “vibe coded” prototype can demonstrate an idea. A live system of record also needs controlled access, repeatable checks, and a responsible operator.
| What the business needs | Code generation alone | Handrail’s delivery model |
|---|---|---|
| Security & access | Controls must be designed and operated. | Verified user sessions, scoped permissions, and server-side credentials. |
| Safe changes | A working demo does not test existing workflows. | Configured CI/CD checks and review against the existing system. |
| Production releases | Someone must own release authority and readiness. | Separate environment policies and traceable release versions. |
| Life after launch | Hosting, incidents, and maintenance remain. | Ongoing engineering, hosting, support, and runtime diagnostics. |
Checks and deployment policies are configured per project. Security and compliance requirements are agreed in scope; no blanket certification is implied.
Build → Check → Release → VerifyHandrail has paying customers replacing full systems of record with custom build-outs that fit their needs.
A system of record holds the authoritative data and workflows people rely on every day. Replacing it means delivering the application, migrating data, connecting other systems, and supporting adoption.
Records · Approvals · Reporting · Integrations
A live platform, paying customers, and system replacement work.
Time to production, adoption, renewals, and delivery cost per account.
Enterprise application SaaS across businesses of all sizes.
| Customer location | <500 employeesSmaller businesses | 500+ employeesLarger enterprises | All sizes |
|---|---|---|---|
| North AmericaU.S., Canada & Mexico | $39.3B | $59.0B | $98.3BModeled |
| GlobalIncludes North America | $87.4B | $131.1B | $218.5BSourced total |
Planning assumptions: North America = 45% of global; <500 employees = 40% of spend in each region; 500+ = 60%. The 500-employee boundary includes exactly 500 in the larger group. Regional and size shares are assumptions, not Gartner findings.
A dated category TAM, not a 2026 estimate or Handrail revenue forecast. Regions overlap; do not add the rows. Only part of this market fits Handrail’s offering.
Proposed initial focus: North American businesses with roughly 100–2,500 employees, a costly system replacement need, and an accountable operating sponsor.
Focus on businesses whose operational complexity and budget justify a managed custom platform.
Start with a business unit or system where a sponsor can own the result and IT can validate the controls.
The serviceable subset has not yet been quantified. The account target comes from the operating plan, not an assumed percentage of global spend. Global expansion follows a repeatable North American model.
Fixed fee for agreed scope, integrations, and launch. Additional scope is priced separately.
One-time build revenueHosting, support, and 40 engineering hours monthly, with defined allowances for change requests, infrastructure, and AI.
Recurring fees include services; user limits are not employee segments.Subscription billing follows agreed production-readiness triggers. Standard terms are 12 months.
More capacity, additional services, or separately operated systems. Extra modules do not automatically create a new deployment fee.
Customers own their data, materials, and output. Hitcents retains application and platform software IP under the MSA.
Reference terms from the documented MSA / proposal review, subject to signed scope and terms. This is pricing evidence, not achieved average revenue. Build fees, overages, and taxes are separate.
Use existing relationships and referrals. Sell a scoped replacement, build references with permission, and document delivery economics.
Focus outbound on the sectors that convert and launch well. Add partner referrals and reusable discovery and implementation plans.
Expand successful accounts and repeatable channels. Add sales territories only when delivery and renewal performance support them.
30 net new live accounts require at least 30 launches before churn. At an assumed 25% win rate, 30 wins need 120 qualified opportunities, with contracts signed early enough for implementation.
Illustrative staffing and funnel assumptions, not current headcount or pipeline. Measure sales cycle, conversion, acquisition cost, time to launch, and renewals before increasing spend.
Three full-time equivalents per team, including shared specialists. The lead owns customer scope and launch; engineers own build and integration; QA covers migration and acceptance.
Assumes six-month implementations. Longer or more complex projects reduce capacity.
Initial builds, platform engineering, and customer support are staffed separately.
AI may reduce effort per change. Hiring follows measured delivery hours and quality—not an assumed productivity multiple.
| Function | Month 12 | Month 24 | Month 36 |
|---|---|---|---|
| Go-to-market | 4 | 8 | 12 |
| Implementation teams3 / 6 / 9 teams × 3 FTE | 9 | 18 | 27 |
| Recurring engineering40h allowance ÷ 120h capacity, rounded up | 4 | 10 | 20 |
| Customer success & support | 2 | 3 | 6 |
| Platform, infrastructure & security | 5 | 8 | 12 |
| Leadership, finance & operations | 2 | 3 | 4 |
| Total planned capacity | 26 | 50 | 81 |
Totals include existing or shared allocations; they are not incremental hires. Implementation capacity at each milestone is 12 / 24 / 36 launches annually once staffed and productive. Ramp time, churn, and projects longer than six months require additional capacity or slower growth.
Illustrative base case: active billing accounts × $20,000 average monthly recurring fee × 12.
$10.8M–$19.8M annualized at average fees of $15K–$27.5K per month. Pricing and account mix matter as much as customer count.
At $20K monthly revenue, direct costs of $5K / $10K / $15K imply 75% / 50% / 25% gross margin, before sales and corporate overhead.
Implementation contribution margin, recurring delivery cost, customer acquisition payback, retention, and a monthly cash plan that supports hiring.
Proposed targets measured from the plan’s start, not current results or contracted backlog. Accounts are after churn and must be billing. Fees include engineering and operations; annualized run rate is not revenue earned. Build fees and overages excluded. No profitability or runway claim is made.
Handrail was developed inside Hitcents, drawing on 25 years of building, launching, and maintaining software.



Understanding the customer’s rules, integrations, and live system makes each next change better informed.
Reusable implementation patterns, checks, and release practices improve the next deployment.
The same delivery model supports the first launch, everyday operations, and future expansion.
The business is built around delivering and operating the system, with AI as part of the production process.
We are speaking with investors who see the potential to accelerate Handrail’s go-to-market and delivery capacity. We are not in a specific fundraising round.
Expand enterprise sales, sector-specific marketing, and partner relationships.
Add implementation teams, migration expertise, and customer success capacity.
Invest in platform reliability, security, reusable integrations, and release verification.
Review the product, customer evidence, and operating economics.
Size capital to the pace the business can support.
A Hitcents company · Bowling Green, Kentucky