$2.7T
AI spending forecast for 2026
Gartner forecasts worldwide AI spending will grow 49.5% in 2026. The total includes infrastructure, software, and services.
Gartner · September 16, 2026 ↗
Market forecast, not realized spending.
SEEBEYOND AI · FROM DECISION TO IMPACT
Test whether your AI applications and agents work.Understand what they cost. Bring the right use cases into production.Strengthen AI and data security. Turn data analytics into actionable insights.Measurable improvements in real workflows.
THE CASE FOR EVIDENCE / RESEARCH FROM 2025–2026
Spending is rising, enterprise returns remain uneven, and clients expect better results. The opportunity is to connect AI to measurable improvements in real workflows.
$2.7T
Gartner forecasts worldwide AI spending will grow 49.5% in 2026. The total includes infrastructure, software, and services.
Gartner · September 16, 2026 ↗
Market forecast, not realized spending.
37%
McKinsey survey respondents who say AI contributed positively to their organization’s earnings before interest and taxes (EBIT).
McKinsey · State of AI 2026 (PDF) ↗
1,719 participants; May–June 2026. Self-reported impact.
78%
Corporate clients who rate AI-enabled quality improvements from providers as very important or essential. Just 6% say most or all providers deliver them.
Thomson Reuters · Future of Professionals 2026 ↗
Client expectations and perceptions of delivery.
Thomson Reuters’ 2026 AI in Professional Services report finds that only 18% of professionals say their organization measures AI ROI; 40% do not know whether it does.
Gartner predicted cancellation by the end of 2027, citing rising costs, uncertain business value, and insufficient risk controls. This is a June 2025 forecast, not an observed failure rate.
MIT NANDA’s July 2025 report describes just 5% of custom enterprise AI tools reaching production and reports no return for 95% of organizations in its research. These are distinct claims, not a universal “95% of pilots fail” statistic.
Research covered January–June 2025: 300+ public initiatives, 52 interviews, and 153 leader survey responses. The authors acknowledge selection bias, varying success definitions, and a short observation period.
Grand View Research estimates intelligent document processing at $3.9 billion in 2026 and forecasts $29.7 billion by 2033, a 33.8% compound annual growth rate. This is market context, not evidence of returns for a particular implementation.
CASE STUDIES · FOUNDER EXPERIENCE
01 / AI EVALUATION & SCALE
$4M+
REPORTED COST SAVINGS
Validate the workflow. Scale with confidence.
Business challenge: Confirm that an AI customer refund workflow met business requirements and handled exceptions before production rollout.
Delivery: Tested standard refunds, outliers, irregular cases, and manual triggers with business subject-matter experts.
Outcome: Validated the workflow before release, then scaled it across the organization.
The same requirements-based testing approach can assess refund agents: permitted actions, tool calls, exception handling, and escalation to a human reviewer.
Identified unexpected behavior before production, supported organization-wide adoption, and delivered over $4M in cost savings.
02 / AI ECONOMICS & ROUTING
AI Spend
COST OPTIMIZATION & CFO VISIBILITY
Choose the right model. Connect spend to value.
Business challenge: Product startups needed to reduce AI costs and understand how model usage supported development teams, product functionality, and business value.
Delivery: Analyzed usage, implemented model selection, automatic routing, and caching, and tagged API usage by team and product segment.
Outcome: Reduced costs and created a CFO view connecting AI spend to product development and segment-level business value.
Apply this cost-attribution approach to agent runs, model and tool calls, retries, and human review to understand cost per completed business task.
Lower AI costs through routing and caching, clearer ownership of API consumption, and a consolidated view of product-level AI economics for finance and product leaders.
03 / ENTERPRISE TRANSFORMATION
$10M+
REPORTED COST SAVINGS
A toolkit for consistent transformation planning.
Business challenge: Fragmented ERP, cloud, and data migration planning created duplicated work and inconsistent delivery plans.
Delivery: Spearheaded a multi-tenant AI planning product and its adoption at Big 4, serving internal teams and client organizations.
Outcome: Standardized planning, with reported average savings of $500K per engagement across 20 engagements.
The planning approach can inform agents that assemble plans using approved templates, with human review before changes are applied to delivery systems.
Reduced planning effort and onboarding time, standardized planning and execution governance, and received positive client feedback on the structure and speed brought to transformation programs.
Broader founder experience: $100M+ in career revenue impact, including work before SeeBeyond. This is a separate measure from the project cost savings above. Meet the founder →
01 / AI EVALUATION
Test AI workflows and agents against business requirements, scope boundaries, and risk thresholds. Get an evaluation scorecard, failure analysis, and a prioritized improvement roadmap.
2–4 week evaluation sprint
Explore evaluation methodology and deliverables →02 / SCALE AI
Turn validated findings into production changes, with release criteria, human oversight, monitoring, and operational handover. Implementation is scoped to your business case.
Implementation following evaluation
Explore implementation support →03 / AI ECONOMICS
Connect model, tool-call, infrastructure, retry, and human-review costs to features, agents, and workflows. Compare spend with business value and prioritize improvements that meet your quality requirements.
Two-week spend and economics review
Explore the AI Spend & Economics Review →04 / AI CONSULTING
Turn evaluation findings and economic insights into practical AI applications, agents, and agentic tools. Connect strategy, implementation, governance, and adoption to measurable business outcomes.
Business management, growth strategy, workflow redesign, and AI transformation support are available through our consulting engagements.
Explore AI consultingStrategy · Implementation · Governance · Adoption
DOCUMENT INTELLIGENCE SUITE
Auto‑structured bullet summaries with citations and risk flags. Tailor tone for partners, clients, or ops.
Ask plain‑English questions across your uploads. Get precise, cited answers—not guesses.
Generate checklists, term sheets, and intake forms from your docs—ready to execute.
Enterprise‑minded privacy with clear, straightforward controls.
Book a 30‑minute walkthrough. We’ll use your sample docs.
Choose the plan that’s right for your organization. New here? Create an account, then sign in and choose your plan. Existing customers can sign in to manage access. Account creation alone does not activate a subscription.
Powerful document intelligence for individual professionals.
Everything you need to ship work faster.
For teams that need scale & controls.
Advanced controls & roadmap features.
SeeBeyond AI provides secure, high‑performance desktop software designed for professionals handling sensitive documents. Our tools run locally, offering enhanced privacy, speed, and enterprise-grade control.
Our online AI training programs teach professionals how to leverage AI across documents, processes, research, and analysis. Courses are built for consultants, analysts, legal teams, and corporate operators.
No. We do not use your files or prompts to train third‑party models. Period.
Per‑workspace roles, link permissions, and export logs. SSO and SCIM are listed under the Enterprise plan. Contact us to confirm your requirements.
PDF, DOCX, PPTX, TXT, CSV, common image formats (OCR included).
BYOC is planned for Enterprise and is not currently available. Contact us to discuss your deployment requirements.
AI evaluation, economics, consulting, training, and downloadable software.
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Closed Saturday and Sunday