For SaaS vendors and integrators
Custom work without the services black hole.
Before · Services black hole
Was
Custom work vanishes into PSA tickets and overrun invoices.
After · Implementation project
With ArvadImplementation run evidence
3 services · 11 files · 0 shared schemas
Checks green. Staging URL live. Spend recorded on the same thread.
Plan, preview, cost, and checks in one workspace.
After · Implementation project
With ArvadImplementation run evidence
3 services · 11 files · 0 shared schemas
Checks green. Staging URL live. Spend recorded on the same thread.
Plan, preview, cost, and checks in one workspace.
The category
The crisis numbers are real. Custom features, integrations, and migrations keep plan, preview, cost, and checks in one workspace instead of a PSA ticket graveyard.
Implementation project replaces ticket archaeology
Preview URL and checks travel with the delivery
Cost and duration recorded per client run
Shareable record for partner and customer review
The gap
Buyers wait months; integrators overrun; services margins suffer. Sources: Gartner, McKinsey, Forrester, TSIA, and others.
100 days
The average enterprise client waits 100 days after signing before their software is usable (HubSpot). ERP deployments average 21 months (Panorama). 7 in 10 CRM implementations exceed timelines by 30%+, and 1 in 5 miss by over 100% (Johnny Grow).
56-60%
Gartner (2022) and Capterra (2024) report 56-60% of enterprise tech buyers experience high purchase regret, with frustration peaking among those who haven't started implementation. 89% will switch to a competitor if implementation feels too complicated (Cloud Coach).
-9%
The TSIA Cloud 40 Index reports project services carry an average gross margin of -9%. SaaS companies lose money on every implementation while software margins hit 75-80%. Palantir CEO Shyam Sankar: "$1 of license for $9 of implementation that never seems to quite work."
23%
Poor onboarding is the single largest cause of customer churn at 23% (Retently). 75% of users abandon within the first week if they struggle (FintelConnect). Over 50% of all churn traces directly to poor onboarding (GUIDEcx). Only 12% of users rate their onboarding "effective" (Clevry).
Forrester's Shari Srebnick captured it perfectly: 'The decision to renew is made in the first 90 days of the post-sale journey.' Yet most implementations don't even finish in 90 days. McKinsey found customers who achieve value within 30 days are 3x more likely to renew.
21 months
Average ERP Deployment
Panorama Consulting's 2025 data shows ERP implementations average 21 months, with large enterprises stretching to 3+ years. Average cost overruns hit 189% across industries and 215% in manufacturing.
189%
Average Cost Overrun
Only 25% of implementation projects hit their objectives, timeline, and budget simultaneously (Johnny Grow). An IDC/Zoho survey found average timeline overruns of 57% and cost overruns of 43%, costing ~$670K in missed opportunities per company.
83%
Data Migrations Fail
Gartner and Bloor Group report 83% of data migration projects either fail or exceed budgets and schedules. 84% are affected by poor data quality. Format incompatibilities cause 45% of failures. TSB Bank's migration disaster corrupted over 24 TB of data.
$7B+
Single Implementation Disasters
Target Canada: $7B collapse, 133 stores closed, 17,000 jobs lost. HP: $160M in lost sales. U.S. Air Force: $1.03B wasted. Lidl abandoned a project after 7 years and over half a billion dollars. These aren't outliers; they're the norm at scale.
The gap
Far more requests than capacity. Backlogs drive churn and shadow IT.
5%
Only about 5% of customer feature requests ever make it to production (Legato AI). The remaining 95% sit in backlogs, get lost across fragmented channels, or are deprioritized against the core roadmap. Enterprise clients get some customization; SMBs rarely get any.
94%
Pendo's 2024 benchmarks show only 6.4% of features drive 80% of click volume. Companies simultaneously fail to build what customers want while building features nobody uses. It is a systemic misallocation of engineering resources.
3+ months
A simple feature request takes 3+ months from intake to delivery due to discovery, approvals, and sprint cycles. One HR leader at a global manufacturer requested a simple compliance alert and waited a full quarter with no delivery. Only ~73% of PS projects ship on time.
38%
38% of employees turn to unapproved tools due to slow vendor response times (Zluri). 97% of cloud apps in the average enterprise are shadow IT (Beezy). Churn doesn't start with competition. It starts with slow customization.
PSA tracks projects; integrators execute them. The automation gap sits between tracking and manual labor.
“PSA tools help you see that a project is behind schedule. They don't write the code to get it back on track. Firms using PSA see 19% higher margins and 25 percentage-point utilization gains, but adoption remains at just 24% of firms.”
“Gartner predicts 70% of new apps will use low-code by 2026. But only 12% of enterprises use LCNC for critical business processes (Index.dev). As Tom Nightingale of Test Double warned: "The minute anyone says don't look behind the curtain, that's a red flag."”
“Large-scale IT projects average 30% delays and 50% additional cost (Technavio). Korn Ferry projects 85 million technical jobs could go unfilled by 2030, putting $8.4T in revenue at risk. The Economist asked: "Who needs Accenture in the age of AI?"”
“ServiceNow has cut PS to 3.2% of its $10.9B revenue, down from 17.6% in 2013. But a documented mid-sized financial firm budgeted $250K for ServiceNow and ultimately spent $1.2M over 18 months. The cost just shifts from vendor to customer.”
“Salesforce earns just 5.85% from PS ($2.22B of $37.9B), declining 4.5% YoY while other segments grow. Its partner ecosystem is projected to reach 6x the size of Salesforce itself by 2026. Partners earn $6.19 for every $1 Salesforce makes.”
“No existing tool automates the actual engineering work of building custom features, configuring systems, migrating data, and shipping customer-specific code. PSA tracks projects. Integrators provide labor. Arvad automates the engineering.”
Arvad does the engineering layer: import the repo, describe the need, get code with tests and docs in the same workspace.
Arvad sits where the thread keeps the plan, staging, spend, and checks.
| Capability | Traditional implementation | Arvad |
|---|---|---|
| Custom Feature Delivery | 3+ months from request to production | Same workspace delivery |
| Implementation Timeline | 6-21 months depending on platform | Depends on scope |
| Cost | $150K-$10M+ (189% average overruns) | Compute on your account |
| Team Required | 3-5 developers + project manager | Your team guides review |
| Data Migration | 83% failure rate, 30%+ cost overruns | AI-enhanced mapping and validation |
| Test Coverage | Manual, 20-40% typical coverage | Suites ship with the feature |
| Documentation | Usually skipped or outdated | Auto-generated, always in sync |
| Quality Assurance | Bug-filled first releases | Review through your process |
| Feature Request Backlog | 95% never get built | Backlog becomes buildable work |
| Scalability | Linear with headcount ($200-400/hr) | Scales with compute, not headcount |
Fill the gap between PSA tracking and manual SI labor: plan, code, test, document, and deploy in one workspace.
Import the repo and map structure, deps, conventions, and related files.
Stays in the workspace with plan and checks
Describe the request in plain language. Generate code that follows team conventions.
Stays in the workspace with plan and checks
AI-assisted mapping and validation for migrations.
Stays in the workspace with plan and checks
Suites ship with the feature.
Stays in the workspace with plan and checks
Docs generated and kept in sync.
Stays in the workspace with plan and checks
Deploy to supported hosts with domain and SSL where configured.
Stays in the workspace with plan and checks
Failed builds can retry with fixes in scope; humans still own promotion.
Stays in the workspace with plan and checks
Plans and docs round-trip through Google Docs before execution.
Stays in the workspace with plan and checks
Import the repo, describe the request, review, and deploy. Timeline depends on scope.
Import the repo, describe the request, review, and deploy. Timeline depends on scope.
Accenture, CISQ, Stripe, and SI market figures with sources cited below.
$1.6T
Annual U.S. Customer Churn Cost
Accenture estimates customer churn costs U.S. businesses approximately $1.6 trillion annually. Over 50% of churn is attributable to poor onboarding (GUIDEcx). A 5% improvement in retention increases profits by 25-95% (Bain/Harvard).
$2.41T
Cost of Poor Software Quality
CISQ estimated the cost of poor software quality in the U.S. at $2.41 trillion in 2022, with $1.52 trillion in accumulated technical debt. $113 billion is spent annually just on identifying and fixing product defects.
$85B
Annual Developer Opportunity Cost
Stripe's Developer Coefficient found developers spend 42% of their work week on maintenance (17.3 hours), equating to $85 billion/year in opportunity cost globally. McKinsey found high-tech-debt organizations spend 40% more on maintenance and ship features 25-50% slower.
$450B
System Integration Market
The global system integration market ranges from $410-553 billion (2024), growing toward $1 trillion by 2032-2034. The Salesforce consulting market alone reached $18.3 billion. SAP's SI market stands at $15 billion, growing at 25.9% CAGR.
McKinsey, Forrester, and Bain all converge on the same finding: the faster customers achieve value, the more they spend. Implementation speed is not an operational metric. It is a revenue multiplier.
3x
Renewal Likelihood Within 30 Days
McKinsey: B2B software customers who achieve value within 30 days are 3x more likely to renew and 2x more likely to purchase additional products. Companies in the top quartile of onboarding effectiveness achieve 2.5x higher customer lifetime value.
5.7x
Revenue From Time-to-Value Focus
Forrester found companies prioritizing time-to-value metrics generate 5.7x more revenue than competitors who don't. The decision to renew is made in the first 90 days. Yet most implementations don't even finish by then.
25-95%
Profit Increase From 5% Retention Gain
Bain and Harvard Business School research shows a 5% improvement in customer retention increases profits by 25-95%. 66% of B2B customers make no additional purchases after a poor onboarding experience, destroying expansion revenue.
92%
Report Positive AI ROI
92% of early AI adopters report investments paying for themselves, with average returns of $1.41-$3.50 for every $1 spent. GitHub Copilot users report 55% faster task completion. Pull request times dropped from 9.6 days to 2.4 days.
The gap
Haystack, UC Irvine, IDC, and Stripe data on burnout, context-switching, and maintenance load.
83%
Haystack Analytics: 83% of software developers experience burnout. Top causes include high workload (47%), inefficient processes (31%), and unclear goals (29%). Over 50% cited burnout as the primary reason colleagues left (Harness 2024).
23 min
UC Irvine research: it takes 23 minutes and 15 seconds to regain focus after an interruption. Knowledge workers switch tasks every 3 minutes. Tracked developers averaged only 2.3 hours of productive deep work in an 8-hour day. Context switching costs $450B annually (Gallup).
4 million
IDC projects the developer shortfall growing to 4 million, resulting in $5.5 trillion in economic losses from delayed projects. 87.5% of tech leaders say hiring is difficult. Only 30% of applicants demonstrate required depth. Technical vacancies take 66 days to fill.
42%
Stripe found developers spend 42% of their week on maintenance and bad code (17.3 hours). CISQ estimates $1.52 trillion in accumulated U.S. technical debt. ~70% of companies attribute delayed releases to tech debt (Carnegie Mellon). It compounds with every rushed implementation.
Solo or team. Upgrade when usage grows.
Compare plansPick the plan that matches how you build. | FreeStart free | StarterChoose plan | ProfessionalChoose plan | EnterpriseChoose plan |
|---|---|---|---|---|
| Credits included | 120 credits included | 240 credits Included | 500 credits Included | |
| Projects per week | 1 mini project | 2 mini projects | 4 mini + 2 medium projects | |
| Documentation access | Essential | Standard | Full | |
| Planning & task breakdown | ||||
| Dependency resolution | ||||
| Queue-based processing | ||||
| Daily questions | Limited | Up to 10 / per day | Up to 25 / per day | |
| Upgrade options | ---- | Large projects | Large-scale projects | |
| Price | $0.0 | $25 | $50 |
Stats cite published research. Read the sources.
Average ERP deployment: 21 months. Cost overruns: 189% (215% in manufacturing). The most comprehensive annual ERP implementation study.
7 in 10 CRM implementations exceed timelines by 30%+. 1 in 5 miss by over 100%. Only 25% hit objectives, timeline, and budget.
55-75% of enterprise implementations fail objectives. 56-60% of buyers report high purchase regret. 83% of data migrations fail.
75% experienced implementation delays. Average 57% timeline overrun and 43% cost overrun. ~$670K in missed business opportunities per company.
Customers achieving value within 30 days are 3x more likely to renew. Top quartile onboarding effectiveness yields 2.5x higher CLV.
Companies prioritizing time-to-value generate 5.7x more revenue. Renewal decisions made in first 90 days of post-sale journey.
5% retention improvement increases profits 25-95%. Foundational research on the economics of customer retention in SaaS.
Customer churn costs U.S. businesses $1.6 trillion annually. Combined with GUIDEcx data showing 50%+ of churn from onboarding failures.
Professional services average gross margin of -9%. Software margins 60-80%. The definitive benchmark for SaaS services economics.
Developers spend 42% of time on maintenance. $85B annual opportunity cost. $300B GDP lost to developer inefficiency globally.
$2.41 trillion in quality costs. $1.52 trillion accumulated technical debt. $113B spent annually on identifying and fixing defects.
Buyers rank technical implementation as #1 priority for customer success. Vendors rank it 6th. The disconnect that defines the market gap.
Limits stated plainly. No demo theater.
One question
If you cannot, you still have a chat log. Arvad keeps that work in one workspace.
Keep exploring
Custom work with a shareable record, not another services backlog.