Program
UnclaimedA design studio creating interfaces and systems for agentic AI, emphasizing trust, provenance, oversight, and user control.
Overview
Program is a design studio working on interaction design and interfaces for agentic AI. It creates surfaces and systems that make autonomous software observable and controllable, focusing on transparency, provenance, agent action visibility, and oversight. The practice helps people understand decisions and intervene when needed.
Mission statement
Design programmes for solutions that enable transparency, control, and trust in agentic AI.
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What we offer
Agentic AI interfaces
Enhances transparency and control over autonomous software through innovative interface design.
No pricing is published on the provided pages; the studio provides contact details for inquiries and quotes.
www.aprogram.net/Who do we serve
Growth-Stage Technology Companies
Growth-stage tech firms adopting AI interfaces for governance and transparency
Geography: Global, with emphasis on North America and Europe
Pain points: Lack of visibility into autonomous actions; governance gaps; risk management challenges
Goals: Improve AI transparency; accelerate safe deployment; meet governance requirements
Positioning: Design-driven interfaces that make autonomous software observable and controllable, providing transparency, provenance, and oversight to help growth-stage tech firms deploy AI safely and at scale
Enterprise IT And Security Leaders
Enterprises seeking AI governance and oversight for risk management
Geography: Global
Pain points: Limited visibility into AI systems; governance fragmentation; compliance risk
Goals: Improve risk management; ensure compliance; secure AI deployments
Positioning: Design-driven governance surfaces provide visibility, auditability, and control for enterprise AI, helping organizations manage risk and compliance across complex deployments
Creative Agencies
Creative agencies delivering AI-driven experiences requiring transparency
Geography: Global
Pain points: Need to demonstrate AI decisions to clients; justify AI-driven outcomes; maintain trust
Goals: Differentiate with transparent AI experiences; scale design systems
Positioning: Design-driven interfaces help agencies present transparent AI experiences to clients, supporting governance and trust across campaigns
Academic Institutions
Academic institutions exploring transparent AI interfaces for research
Geography: Global, with focus on North America and Europe
Pain points: Need reproducibility and auditability of AI experiments; governance for research deployments
Goals: Advance research with transparent AI; ensure ethical oversight
Positioning: Design-driven interfaces provide observable AI decision processes for research and education, supporting transparency and reproducibility
Market segments
Market size by segment
Growth potential (CAGR)
Human-centered AI design
Design practices and interaction patterns that make autonomous agents usable, interpretable, and controllable by people across workflows.
Products: Agentic AI interfaces
AI governance and agent monitoring
Monitors autonomous AI agents and models for policy compliance, performance, and risk; provides enforcement, audit capabilities, and analytics to govern AI-driven actions.
Products: Agentic AI interfaces
AI transparency and provenance
Displays and UX that reveal decision rationale, data lineage, and provenance to support trust and auditability.
Products: Agentic AI interfaces
More information about our offering
Agentic AI interfaces
A design studio offering end-to-end design and build services for agentic AI interfaces and governance surfaces, including trust and provenance displays, agent action visibility, and oversight controls, supported by cohesive design systems that make autonomous software observable and controllable.
No pricing is published on the provided pages; the studio provides contact details for inquiries and quotes.
- Understand Agent ActionsAllows users to see real-time actions taken by agents, fostering trust and informed decision-making.
- Build User TrustEnhances user confidence by clarifying how decisions are made and the data utilized.
- Manage Agent BehaviorEmpowers users to modify agent actions, thereby maintaining oversight and control.
- Unify User ExperienceEnsures all elements work together seamlessly, enhancing usability and user satisfaction.
Sources
Methodology and sourcing behind the figures and links shown above.
Human-centered AI design
Multiple market-research reports in the provided results place the human-centered AI market at roughly $9–11.5B in the 2023–2024 timeframe with high growth forecasts (~20–21% CAGR). I used the Market Research Future 2024 estimate ($11.28B) as the baseline and the consistent ~20–21% CAGR from several sources (MarketResearchFuture, SNSInsider/The Business Research Company press, OpenPR) to estimate near-term growth potential (~20.9% CAGR).
AI governance and agent monitoring
Estimate uses agentic AI governance market data as the best match for “AI governance and agent monitoring.” Mordor Intelligence explicitly sizes agentic governance at USD 7.28B (2025) with a 39.85% CAGR to 2030. Broader AI governance sources (GMInsights, MarketsandMarkets, Precedence) show smaller core governance figures (USD 0.31–0.84B in 2025) but similarly high CAGRs (31–45%), reflecting strong regulatory and enterprise adoption drivers. I selected the Mordor agentic governance figure because it specifically addresses governance for autonomous/agentic systems, which aligns with the marketSegment description.
- Market size reached USD 7.28 billion in 2025; forecast to USD 38.94 billion by 2030 at a 39.85% CAGR.
- The global AI governance market reached USD 839.2 million in 2025; CAGR (2026–2035) 31.4%.
- Projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, CAGR 45.3%.
- AI governance market valued at USD 309.01 million in 2025; projected to USD 5,883.90 million by 2035, CAGR 34.27%.
AI transparency and provenance
Mapped the segment to the AI content provenance/software market. Primary source: Mordor Intelligence reports a 2026 market size of USD 1.31B and a 2026–2031 CAGR of 28.95%. SNS Insider provides a corroborating estimate (2026 ≈ USD 0.97B, CAGR ~28.5% over 2026–2035). Both reports cite regulatory disclosure requirements and synthetic-media risks as growth drivers.
- Program
- Agentic AI interfaces
- 2024 Market Size$ 11.28 Billion
- was valued at USD 9.42 billion in 2023 and ... grow at a CAGR of 21.28 %
- growth from $11.46 billion in 2024 to $13.86 billion in 2025; CAGR of 20.9%
- Market size reached USD 7.28 billion in 2025; forecast to USD 38.94 billion by 2030 at a 39.85% CAGR.
- The global AI governance market reached USD 839.2 million in 2025; CAGR (2026–2035) 31.4%.
- Projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, CAGR 45.3%.
- AI governance market valued at USD 309.01 million in 2025; projected to USD 5,883.90 million by 2035, CAGR 34.27%.
- Market Size (2026)USD 1.31 Billion; Growth Rate (2026 - 2031)28.95 %
- 2026 MARKET SIZE USD 0.97 Billion; CAGR 2026–2035 28.54 %
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