# Bojan Radojicic

Bojan Radojicic writes about building more efficient finance teams, including FP&A templates, finance automation, and practical uses of AI in reporting.

- Profile: https://b2binfluencer.marketing/creators/bojan-radojicic/
- LinkedIn: https://www.linkedin.com/in/bojan-radojicic-a132a526
- LinkedIn followers: 335,767
- YouTube: https://www.youtube.com/channel/UCMGpapMz9-Fx110VJ0ClCaw
- Topics: artificial-intelligence, ai-in-finance
- Based on 9 dated posts, latest 2026-10-06

## Summary

Bojan Radojicic is most useful for finance automation and FP&A template messaging to finance leaders.

- Best for: A finance software company selling FP&A planning and reporting tools, for co-marketing on automation and templates.
- Not for: Developer-tools companies targeting platform engineers who influence tooling purchases.
- Check first: Confirm LinkedIn audience demographics by role, seniority, geography, and recent post performance.

### Takeaways

- Skilled finance people are being used as data clerks.
- Templates, not software purchases, separate good finance teams from world-class ones.
- AI should write the words, not calculate the numbers.

## Main ideas

- **Skilled finance people are being used as data clerks**: The problem is not weak talent or effort; it is the work itself. Teams spend months collecting, reconciling and formatting numbers, then write commentary late at night under pressure. Management sees the story days after the numbers. The post argues this is a management choice, not a staffing fact: the same analysts who could build a rolling forecast spend their weeks repairing spreadsheets.
- **Templates, not software purchases, separate good finance teams from world-class ones**: The post distinguishes tools from standards. A team owns the templates it builds and maintains, and those standards determine whether a recurring close is a scramble or a routine update. Without them, teams reinvent the same models every month.
- **AI should write the words, not calculate the numbers**: When AI enters reporting, Bojan Radojicic draws a hard line between computation and language. They say code computes every figure and reconciles it to the trial balance; AI only drafts commentary. Line owners review and edit every comment before it reaches the CFO, and a developer reviews the code and infrastructure before real data is used. Speed without control is a risk. Security is mandatory: login with MFA, role-based access, a full audit trail, and review and approval options.
- **Automation is a function-wide design question, not a tool purchase**: Survey data on accounts payable shows finance teams know what is broken but lack a clear path to fixing it. AP is often where the automation gap is felt first, but it is rarely the only place. The post shifts the question from which AP tool to buy to how to build a finance function where automation and AI work end to end, then points to its own event as a place to work that out.

## Work to read

- [A finance team builds its own reporting app with Claude Code, Cloudflare and GitHub](https://www.linkedin.com/posts/bojan-radojicic-a132a526_claude-cloudflare-and-gitgithub-with-these-activity-7511396734305099776-ibUY)
- [The FP&A fire drill and the seven templates that shorten it](https://www.linkedin.com/posts/bojan-radojicic-a132a526_i-recently-audited-an-fpa-team-that-was-activity-7511757296524234753-TtO7)
- [Survey of 102 finance leaders on accounts-payable automation](https://www.linkedin.com/posts/bojan-radojicic-a132a526_only-18-of-smb-finance-leaders-are-actually-activity-7513208127861854208-ZgNa)

## Brand relationships

- **Anthropic Claude** (mention)
- **Cloudflare** (mention)
- **GitHub** (mention)
- **CFO AI Nexus** (disclosed_partnership)

## Partnerships

The three available posts promote Bojan Radojicic’s own channels rather than third-party deals: a Saturday newsletter pitched to finance readers, a set of FP&A templates offered as a download, and a virtual CFO conference with registration and ticket details. None names a brand partner, rate, placement specification, or partnership terms. One post claims the newsletter has 90,000 finance readers, making it the clearest owned audience a finance software company could approach. Before committing budget, ask whether the newsletter accepts paid placements, sponsored sections, or co-branded content; what each format includes; who approves the copy; and what the audience figures are based on. No official sponsorship inquiry route was verified.

## Alternatives

- Anooshay Arif: Choose Anooshay Arif over Bojan Radojicic when the campaign is about changing how senior finance people spend their time, not promoting a template download. The posts describe a target ratio: 80% of finance team time producing numbers and 20% explaining them, with a plan to flip it. They offer concrete automation scenes to sponsor: bank reconciliations where AI flags anomalies and a person approves every one; AP and AR where pattern matching handles the obvious 70% and people handle the messy 30%; variance commentary where AI drafts and a person who knows the client's business refines; and a reporting package where data assembly is automated while a person writes the narrative. A second post argues that a new CFO's first 90 days should fix alignment before metrics, because sales, product and go-to-market teams often disagree on ARR, bookings and spend, and dashboards only work once the numbers are trusted. This suits a campaign selling judgment, review and alignment around automation, or a services layer alongside software.
- Rajesh Viswanath: Choose Rajesh Viswanath over Bojan Radojicic when the campaign targets CFOs and FP&A leaders making capital-allocation and working-capital decisions, and the vendor sells driver-based planning, cash visibility or forecasting. One post argues that traditional budgeting fails at capital allocation, not budget building: departments submit requests, finance decides who gets what, and the better question is which investment moves the most important enterprise value drivers. It names SaaS drivers such as net revenue retention, CAC payback, pipeline conversion and gross margin, and manufacturing drivers such as capacity utilization, yield, inventory turns and on-time delivery, then connects them to driver-based planning. A second post reframes the cash conversion cycle as a competitive advantage, citing a PYMNTS Intelligence report that top performers convert cash in 24.2 days versus 44.4 days for lower performers. The argument is that the gap comes from visibility across procurement, operations, suppliers and finance. This fits software that connects operational and financial data, or a campaign seeking a CFO-level strategic frame rather than a hands-on template.
- Jeff Epstein: Choose Jeff Epstein over Bojan Radojicic when the campaign needs CFO-level credibility on AI economics or an event-led activation rather than an evergreen template. Jeff Epstein writes from both sides of technology investment: as a former CFO at Oracle and other companies, and now as an investor at BVP. One post asks what actually changed when finance teams use AI in forecasting, reporting, close, collections or analysis—whether teams became more productive, economics changed, decisions got faster or better—and whether any of it can be measured. Another says the CFO's role in AI has shifted from controlling spend to asking what AI does to margins, pricing, retention and collections. It cites a Bain estimate of $4.7 trillion in global profit at stake from AI between 2025 and 2035. Both posts promote Finance Exchange in San Francisco on October 15, one with Priya Rajan, giving a vendor a natural event-sponsorship or speaking angle tied to a senior finance audience.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/