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PROJECTAI Feasibility Sprint for a SAP Payroll Consultancy
How CVision helped ReachNett use Claude Code and governed AI workflows to speed up demos, delivery, and sales cycles.
CVision ran a 3-week AI feasibility sprint for ReachNett, a SAP payroll consultancy—auditing workflows, enabling Claude Code for consultant prototyping, defining governance layers, and identifying SEO and lead generation as growth levers. The result: faster demo cycles, more consultant bandwidth, lower development cost, and a clear production path.
Meet our client
Client: ReachNett
Industry: SAP Consulting, Payroll
Market: North America
Solutions: AI Audit
Key outcomes
3 WeeksAI feasibility sprint
6 WorkflowsMapped for automation
1 PathClaude Code to production
2 LeversSEO content + lead gen
Who this is for
SAP consultancies, payroll practices, and specialist B2B firms where consultants spend hours on repeatable work, demo cycles are slow, and AI feels like something for later. If your team knows the domain but doesn't know where AI actually fits — this sprint is for you.
The challenge
ReachNett operates in a narrow, high-value niche — SAP payroll configuration for industries with complex compliance requirements. Their consultants were highly skilled, but:
- Senior consultants were manually configuring repeatable workflows that could be prototyped.
- Demo setup for pre-sales slowed down the sales cycle.
- AI usage across the team was informal and inconsistent, with no governance.
- Growth depended almost entirely on referrals, with no systematic outreach or content.
What CVision identified
The opportunity was not a single automation — it was a capability shift. Under audit, the highest-leverage points were:
- Six workflow categories where Claude Code could replace manual consultant effort on first-pass prototyping.
- A missing governance layer — AI usage without validation, audit trails, or production handoff criteria.
- Demo preparation as the biggest bottleneck in the sales cycle.
- Untapped growth: ReachNett's expertise in union payroll, prevailing wage, and Davis-Bacon compliance was not visible to the market.
ReachNett did not need a generic AI strategy. They needed to know where AI could actually improve their consulting business.
Before / After
| Before CVision | After CVision |
|---|---|
| Senior consultants manually configured repeatable workflows | Consultants use Claude Code to prototype repeatable workflows |
| Demo setup slowed down pre-sales | Demo scenarios prepared faster for prospects |
| AI usage was informal and inconsistent | AI usage has governance, review, and production handoff |
| Full engineering needed too early | Consultants prototype first, CVision productionizes later |
| Growth depended mostly on referrals | SEO and lead generation became clear next steps |
How we helped
01
Workflow audit
We reviewed ReachNett's SAP payroll workflows, consulting process, internal documentation, and repeatable delivery tasks. Goal: find where AI could create leverage without adding risk.
02
Claude Code enablement
We showed the team how to use Claude Code for workflow prototyping, repeatable task generation, technical documentation, internal automation drafts, and faster demo preparation.
Key idea: consultants should not wait for full development before testing an idea.
03
Governance layer
We recommended controls around AI-assisted work: schema validation, dry runs, human review, audit trails, read-back verification, and production handoff to engineers.
04
Growth recommendations
Because ReachNett has a narrow, high-value SAP payroll niche, we recommended two parallel growth levers:
- AI-assisted SEO — blogs targeting union payroll, prevailing wage, Davis-Bacon, and SAP payroll search intent.
- Lead generation system — targeted outreach to construction firms, SAP payroll managers, and compliance-heavy employers.
Tools and concepts involved
Claude CodeLangGraphSAP Payroll WorkflowsGovernance LayersSchema ValidationDry Run ModeAudit TrailsHuman ReviewProduction Handoff
The result
A clear, actionable path to faster demos, faster delivery cycles, more consultant bandwidth, and new growth channels through SEO and targeted lead generation.
Faster sales cycles
Demo scenarios could be prepared faster for prospects.
More output per consultant
Repeatable work could be prototyped instead of manually rebuilt.
Lower development cost
Consultants prototype internally using Claude Code before involving engineers.
Safer production path
CVision defined governance layers before anything moved into production.
For SAP consultancies, AI should not replace consultants. It should make every consultant more productive.
Book an AI feasibility sprint with CVision.
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