C3.ai, Inc. (AI) Earnings

Management highlights

- Company Turnaround and Restructuring: Tom Siebel has returned as CEO to lead a full company turnaround after multiple quarters of staggeringly poor performance, particularly in sales. The company has completed a top-to-bottom restructuring across sales, products, services, and the federal division, with new seasoned leadership in place for all core business units. Headcount was reduced ~35% from ~1,070 employees to ~700, delivering $135 million in annual operating cost reductions, with ~$130 million of these savings already realized. All restructuring and workforce actions are complete, with cost controls and budgets fully implemented. - Operational Improvements: C3 AI has adopted an agentic AI-first mindset across all business functions to boost productivity: product teams leverage AI for programming activities, and sales teams use the Aviso GenAI tool to support market and business development. The services organization was flattened from 7 to 3 layers, with dedicated customer teams that stay assigned to each client from pilot through production deployment to improve customer satisfaction and drive contract expansion. - Updated Go-to-Market Strategy: The previous go-to-market approach focused on a small pool of ~100-150 total accounts per region and prioritized small, short-term quarterly opportunities. The new strategy expands the target opportunity pool to thousands of accounts across all regions, and focuses on developing multi-quarter, multi-year campaigns targeting deals of all sizes (from $500k small deals up to multi-billion dollar large deals). Management is focused on driving consistent quarterly top-line growth, non-GAAP profitability, and positive quarterly free cash flow. - Capital Position: The company remains well-capitalized, ending Q4 FY26 with $575.4 million in cash, equivalents, and marketable securities. Following Tom Siebel's $69 million purchase of 6.17 million company shares, total cash balances increased to $673 million, and management confirms there is no need for near-term financing. - Customer and Product Position: Management confirms the core product is strong, customers are satisfied, the enterprise AI market is large and rapidly growing, and the core performance problem has been poor sales execution, not churn or weak market demand. Cumulative signed initial production deployments (IPDs) reached 417 at quarter-end, with 251 active IPDs.

Guidance

- Q1 FY27 revenue is guided to $50 million to $54 million, with non-GAAP operating loss guided to $40.5 million to $48.5 million. The midpoint of non-GAAP operating expenses is $31.6 million lower than the year-ago quarter. - Full fiscal year 27 revenue is guided to $210 million to $240 million, with non-GAAP operating loss guided to $128 million to $160 million. - Management expects full annual cost savings of $135 million to be met or exceeded, with remaining non-labor cost savings fully realized in the second half of FY27.

Segment performance

C3 AI reports two core revenue segments for Q4 FY26: 1) Subscription revenue: $48.4 million, representing 94% of total revenue. 2) Professional services revenue: $3.2 million, representing 6% of total revenue, of which $2.1 million came from prioritized engineering services (PES). Combined subscription and PES revenue accounted for 98% of total Q4 FY26 revenue. Non-GAAP gross profit for the quarter was $19.3 million, with a 37% overall non-GAAP gross margin; non-GAAP gross margin for professional services was 78%.

Risks & headwinds

- Past poor sales execution has led to unacceptable financial results, well below market growth expectations, and a depressed market valuation that management acknowledges is well-deserved. - Forward-looking statements around the turnaround are subject to inherent risks and uncertainties that could cause actual results to differ materially from expectations, as detailed in the company's SEC filings. - The restructuring and new go-to-market strategy are newly implemented, so management cannot yet provide certainty around future revenue mix between subscription, professional services, and demonstration licenses.

Analyst Q&A

• Q: Patrick Walravens (Citizens) asked why C3 AI's revenue has fallen dramatically from fiscal 25 levels, and what went wrong at the company. /

  A: Siebel explained that sales fell off a cliff over the last five quarters entirely due to catastrophic lack of sales execution and discipline, not because of product weakness, unhappy customers, or small market size. He confirmed all criticism and the company's current depressed valuation are well-deserved, but the problem is fixable, and the sales organization has already been completely restructured to resolve the issue. Siebel also addressed a follow-up question about churn, stating the company has not seen significant customer churn, so weak revenue is purely a sales execution problem.

• Q: Roddy Sultan (UBS) asked for details on the revenue mix of license and PES in the FY27 guidance, and the role of demonstration licenses in the new growth strategy. /

  A: Hitesh Lath noted PES will continue to make up a large share of total professional services revenue, and total professional services (including PES) will represent 10% to 15% of total revenue. Siebel added that because the entire sales and go-to-market model has been changed, management cannot yet predict the exact future revenue mix, but confirmed the company is primarily focused on growing software revenue, not services revenue.

• Q: Matt Calitri (Needham) asked how the new go-to-market focus on larger account pools differs from C3 AI's prior pilot-focused strategy. /

  A: Siebel explained that under the prior structure, sales teams only focused on 100-150 total accounts per region, which drastically limited the company's opportunity. The new model expands the target pool to thousands of accounts across North America, Europe, and the federal space, and targets deals across all size tiers from small ($0.5M-$2M) to large ($50M+). He also noted the enterprise AI market is growing at 50% CAGR (from $6B in 2025 to $15B projected 2027), and customers are consistently finding budget for these initiatives.

• Q: Koji Akeda (Bank of America) asked why IPD volumes have trended down, which customer segments are hardest to win, and which segments offer the best growth opportunity. /

  A: Siebel reiterated that poor IPD growth is a result of bad execution, not lack of market opportunity, noting that peer Palantir demonstrates strong demand for the IPD-style go-to-market model in enterprise AI. He confirmed the enterprise AI market opportunity exists across all major verticals including financial services, consumer packaged goods, defense/intelligence, agribusiness, and aerospace, and C3 AI now has the right structure to capture its full share of this fast-growing market.