Indigo
Site: https://www.getindigo.ai/
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Introducing —The Executive Intelligence OSWe deliver AGI-level business understanding today by unifying Real-Time Truth (live decisions) with Institutional Memory (trusted context).Available forACCESS ANY MODELWHAT WE DOFrom Needle-in-Haystack to Strategic AnalysisIndigo connects your entire stack—meetings, Slack, email, tasks, and knowledge bases—then separates live decision streams (hot) from institutional memory (cold). We continuously distill and index insights in the cold corpus with citations, and a deep, model-agnostic research agent runs requests across both to answer, draft, and take action.PROBLEMS WE SOLVEWe let leaders zoom from pinpoint decisions to board-level strategy in seconds.MICROPinpoint RecallMESOAlignment and execution healthMACROStrategy, planning, and narrativeWhich meeting decided to move to Pro-only at $40/month in August 2025, and who owned it?What did the Marketing team work on in August 2025?Where did we decide to migrate infra from AWS to GCP during July 2025, and what was the rationale?Which meeting set the pricing page copy on Aug 26, 2025, and who approved it?When did we commit to SSO/SAML for Q4 rollout in Q3 2025, and what were the criteria?What did Customer Success (Sofia Alvarez) commit to resolve for BetaCorp last week?FEATURESInstallGet Indigo running on desktop (macOS and Windows) and connect Google Workspace in minutes.Desktop app for macOS and Windows with auto-updatesGlobal shortcut Alt/Option + I to open the Command PaletteOne-click OAuth to Google Calendar, Gmail, and DriveCalendar awareness for meeting joins and contextScoped, read-only permissions with admin controlsMeetingsTurn every meeting into structured, shareable intelligence.Real-time transcription with decision and action detectionSpeaker attribution and timestamps with deep linksShareable meeting pages (public/private link settings)Meeting cards, tags, and timeline viewImport past recordings and transcripts (e.g. Fireflies)AssistantAn PhD-level assistant that's transcript-aware, memory-grounded, and action-oriented.Multi-model support (OpenAI, Anthropic, and more)Fast answers for quick tasks, deep research for complex requestsMemory grounded in your meeting history and documentsCan take actions on your behalf with appropriate permissionsCommandsAutomate your most common tasks in seconds.Voice anywhere with Alt/Option + ICreate summaries and follow-ups with one commandPersonal and team command librariesCustom commands with natural language descriptionCommand EditorCreate and share custom commands to build new workflows yet.Define prompt templates with variablesSet data sources and integrations connectedTest and iterate on command performanceConfigure ownership and permissionsDataControl which data each command can use to ensure relevance and privacy.Source scoping: emails, meetings, Drive folders, docsFilters: by time, owner, tags, or projectPersonal vs company data boundaries (RBAC)InsightsA living layer of decisions, actions, and patterns—searchable and cited.Decision Ledger with owners and timestampsCross-channel threads (meeting → email → task)Trends, risks, and initiative rollupsSource citations for every insightTeamEnterprise controls for data, commands, and collaboration.Roles and access controls at org/workspace levelsSource-level permissions (email, meetings, Drive)SSO/SAML, audit logs, and BYOK optionsCommand-level publishing and usage analyticsOwner InsightsOrg owners can view insights generated across the entire workspace.Track productivity, decision volume, and follow-through by individualDrill down from owner-level metrics to the exact meeting, message, or docPRICINGOne Pro Plan, Everything Included.$40/month gets you unlimited meeting analysis, advanced AI chat with model choice, desktop + essential web access, content publishing, and priority support.Professional$40/user /monthUnlimited meeting intelligenceAnalyst-grade assistant (model choice)Knowledge retrieval with citationsDesktop App AccessPriority supportStart Your 7-Day Free TrialEnterpriseCustom PricingBYOK (data + models)Custom integrations and SLAsAdvanced compliance and controlsContact SalesContact: go@getindigo.aiCONTACT USLet's Get In TouchReady to transform your business with Indigo AI? We'd love to hear from you!NameEmailMessageSend Message --- INDIGO DESIGN LABSDesigning the Future of AIWe architect the brand systems, product experiences, and design infrastructure that turn AI capability into trusted, scalable companies—from market position to interface.Start a CollaborationThe future of AI won't be won by the smartest models alone.It will be won by the companies that make AI understandable, trustworthy, and inevitable—through strategic brand architecture, disciplined product design, and interfaces that feel calm at the moment of complexity.We build the complete system: the positioning that clarifies your market, the architecture that structures your product, and the design that makes your AI feel like it was always meant to exist."Design is not just what it looks like. Design is how it works."THE CHALLENGEGreat Technology Isn't EnoughYour AI works. The models are trained. The infrastructure scales. But:Enterprise buyers don't understand your differentiationYour product feels fragmented as features multiplySales cycles stretch because trust builds slowlyYour brand looks like every other AI companyUsers activate but don't expand or advocateYour team ships fast but coherence fragmentsThe truth: The market doesn't buy capability. It buys clarity. And clarity requires architecture—at the brand level, product level, and interface level.The stakes: Every quarter without strategic design infrastructure is a quarter of lost market position, burned enterprise trust, and fragmented team execution.WHAT WE BUILDThe Complete System—Brand to InterfaceSERVICEBrand Architecture01ESSENCEstrategic, systematic, scalable, credibleWHAT IT ISYour market position, codified. We architect the narrative, identity, and visual systems that make your company instantly recognizable and unmistakably credible.DELIVERABLESMarket positioning and competitive differentiationNarrative architecture and messaging frameworksVisual identity systems and brand guidelinesGo-to-market language and sales enablementSERVICEProduct Architecture02ESSENCEstructured, intuitive, coherent, calmWHAT IT ISThe invisible structure behind great experiences. We design the information hierarchies, user flows, and interaction models that make AI feel inevitable, not overwhelming.DELIVERABLESInformation architecture and navigation systemsUser flow mapping and journey designAI-human collaboration patternsDecision-making frameworks and interaction modelsSERVICEDesign Systems03ESSENCErepeatable, scalable, governed, efficientWHAT IT ISRepeatable excellence at enterprise scale. We build the component libraries, pattern languages, and governance frameworks that let teams ship fast without breaking coherence.DELIVERABLESComponent libraries and design tokensPattern documentation and usage guidelinesDesign-to-development workflowsGovernance frameworks and contribution modelsSERVICEExperience Design04ESSENCEtrustworthy, confident, precise, delightfulWHAT IT ISWhere your technology meets your customer's confidence. We design the interfaces, interactions, and micro-moments that make AI trustworthy at the point of decision.DELIVERABLESInterface design for web, mobile, and emerging platformsInteraction design and micro-animationsUX writing and conversational designPrototypes and production-ready specifications"Good design is invisible. Great design is inevitable."HOW WE WORKA Disciplined Process, Not Creative ChaosFour phases. Measurable outcomes. Built to scale.Phase 01DiagnosisWeek 1-2We start by understanding reality: your technology, your market, your customers, your competition. We audit your current brand and product, interview stakeholders, and identify the gaps between capability and clarity.WHAT WE DOMarket analysisCustomer interviewsCompetitive auditStakeholder alignmentTechnical reviewDELIVERABLEStrategic audit with prioritized opportunitiesPhase 02ArchitectureWeek 3-5We design the system before we design the surfaces. Brand architecture. Information architecture. Design principles. This is where strategy becomes structure—the invisible logic that makes everything else inevitable.WHAT WE DOBrand positioningProduct structureInformation hierarchyDesign principlesPattern frameworksDELIVERABLEStrategic frameworks and system blueprintsPhase 03TranslationWeek 6-10We translate structure into surfaces: visual identity, interface designs, component libraries, documentation. Every artifact is production-ready, scalable, and built to evolve.WHAT WE DOVisual identityInterface designComponent librariesDesign tokensDocumentationPrototypesDELIVERABLEComplete design systems ready for implementationPhase 04CompoundingOngoingGreat systems evolve as products learn. We provide governance frameworks, quarterly reviews, and continuous optimization so your design infrastructure compounds value instead of accumulating debt.WHAT WE DOSystem governanceHealth monitoringQuarterly auditsPattern evolutionOngoing supportDELIVERABLELiving systems that grow with your business"Clarity is the only thing that compounds faster than complexity."WHY INDIGOWe Speak Three Languages FluentlyTo your executive teamWe understand that design is strategic infrastructure, not subjective taste. We present our work in the language of business outcomes—customer acquisition costs, lifetime value, sales velocity, retention curves, and enterprise value creation.To your product and engineering teamsWe understand your stack. We've designed model interfaces, real-time inference experiences, multimodal interactions, and explainability layers. We know the constraints of latency, the complexity of context windows, and the challenge of trust calibration.To your customersWe understand their skepticism. AI is overhyped and under-trusted. We design experiences that meet people with clarity, not jargon. Confidence, not complexity. Proof through experience, not promises through marketing.The result: We don't just design products. We design the systems that make great products inevitable.SELECTED COLLABORATIONSReal Companies, Real OutcomesFinancial ServicesFinancial intelligence platform • Series BBrand ArchitectureDesign SystemsExperience DesignCHALLENGEProspects couldn't articulate why they were different from competitorsWHAT WE DIDBuilt complete brand architecture, visual identity system, and product design languageOUTCOME3x increase in qualified pipeline, 40% reduction in sales cycle+3xpipeline-40%salesCycle+25%retentionEnterprise SaaSInternal collaboration platform • Growth stageProduct ArchitectureDesign SystemsCHALLENGEProduct felt fragmented as features multiplied across teamsWHAT WE DIDDesigned unified information architecture and scalable component systemOUTCOMEShipped 2x faster with consistent experience across 50+ features+2xvelocity100%consistency+60%adoptionMarketing TechnologyEnterprise brand management • Series CBrand ArchitectureProduct ArchitectureExperience DesignCHALLENGEEnterprise buyers didn't trust the brand to handle their scaleWHAT WE DIDRepositioned brand, redesigned product, built enterprise design systemOUTCOMEFirst Fortune 500 customer signed within 90 days+5enterprise+150%deal+35nps"The best design is the one you don't notice—until you try to use something else."WHO WE SERVEAI-First Companies at Critical Inflection PointsBuilding CategoryYou've proven product-market fit. Now you need brand and product architecture that scales from 10 customers to 1,000 without fragmenting.Scaling EnterpriseYou're moving upmarket. Enterprise buyers demand different interfaces, clearer narratives, and brand credibility that matches your technical depth.Becoming InevitableYou're building a public company. Every touchpoint must reinforce category leadership. Design becomes competitive infrastructure, not creative preference.COMPOUNDING ADVANTAGESStrategic Design Infrastructure CompoundsEvery quarter you invest in design systems, the returns accelerate.Faster ShippingTeams ship 2-3x faster with design systems. Reusable components, documented patterns, and clear governance eliminate redundant decisions.Higher QualityConsistency isn't cosmetic—it's cognitive. Users learn once, apply everywhere. Trust compounds through predictable experiences.Lower CostsDesign debt is technical debt. Systems prevent fragmentation, reduce rework, and make maintenance predictable instead of exponential.Stronger BrandEvery interaction reinforces your positioning. Coherent experiences build brand equity automatically, not through campaigns.Better TalentGreat designers and engineers want to work on systems, not one-offs. Infrastructure attracts and retains top talent.Competitive MoatsDesign systems become institutional knowledge. The longer you invest, the harder you are to replicate or displace."Systems thinking is the only thinking that scales."INVESTMENT & TIMELINETransparent Pricing, Predictable OutcomesEngagement ModelsFoundation10-12 weeks • $150k-$250kComplete brand architecture, product structure, and design system foundation. Perfect for companies building category or preparing for scale.Transformation16-20 weeks • $300k-$500kEnd-to-end repositioning, product redesign, and enterprise design system. For companies scaling upmarket or becoming category leaders.PartnershipOngoing • CustomEmbedded design leadership, continuous system evolution, and strategic guidance. For companies building public-company-grade infrastructure.What's IncludedStrategic audit and opportunity mappingBrand architecture and positioningProduct structure and information designVisual identity and design languageComponent libraries and design tokensDocumentation and governance frameworksTeam training and knowledge transferQuarterly reviews and optimizationWhy This Investment Makes SenseThe average enterprise sales cycle costs $50k-$150k per deal. If strategic design shortens your cycle by 30% and increases win rates by 20%, the ROI is immediate.Design systems pay for themselves in 6-12 months through faster shipping, reduced rework, and compounding brand equity.FREQUENTLY ASKEDQuestions We Hear OftenHow is this different from hiring a design agency?Do we need to have a design team already?How do you measure success?What if we need to move fast?Can you work with our existing brand/design?Do you do implementation or just design?THE BOTTOM LINEThe future of AI won't be won by the smartest models alone.It will be won by the companies that make AI understandable, trustworthy, and inevitable—through strategic brand architecture, disciplined product design, and interfaces that feel calm at the moment of complexity.Start a Collaboration --- ResearchExploring the future of organizational intelligence and AI-powered decision makingFeatured202425 min readSignal–Context Architecture (SCA): A Dual-Stream AI for Executive-Grade Answers from Noisy DataOrganizations today grapple with information overload—a deluge of messages, meetings, and documents that contain critical decisions and knowledge, but in unstructured, noisy forms. We introduce Signal–Context Architecture (SCA), a model-agnostic AI framework that separates live information 'signals' from static knowledge 'context.'Read Full Paper --- InsightsExploring the intersection of artificial intelligence, executive decision-making, and the future of business intelligence.AllagentsaiAI NewsAI productivity toolsAI revolutionAI strategiesAI toolsai-adoptionai-agentsai-enablementai-nativearchitectureat&tbootcampcase-studiescase-studyChatGPTClaudeCo-pilotcreativedecentralizationdeveloper-toolsemployee supportenterpriseephemeral-uiexecutive-trainingfinanceGPThiringindigoinfrastructureInsightsJPMorganmesh-networkingNewsopen-sourceoperationspatternspersonalizationproductivity toolsSalesforceself-learningStrategiesstrategycase-studyAn Artist Built an AI Creative Studio in 3 Sessions — Without Writing a Line of CodeThe same methodology used by finance executives and tech operators works for artists. Here's what one multidisciplinary artist built in three sessions.SStefan JohnsonMarch 14, 2026·2 min readLatestcase-studyHow a CPG Finance Team Cut Manual Reporting Time with an AI Command CenterA CPG finance team replaced Excel-as-connective-tissue with a custom AI command center. Here's what they built in 3 sessions.March 12, 2026·2 min readai-enablementThe AI Enablement Hire Is a TrapWhy the hottest job in tech is nearly impossible to fill, and what to do insteadMarch 10, 2026·6 min readai-nativeWhat We Mean by AI-Native OperationsThe difference between using AI tools and running your company on AIMarch 8, 2026·8 min readbootcampI Trained 20 Executives to Build AI Agents. Here's What They Built.First-person account from running Indigo's Exec AGI BootcampMarch 7, 2026·9 min readIaiThe Virtuous Cycle: How Self-Learning Systems Get Smarter Every DayMost AI systems ship smart and stay exactly that smart forever. They launch with a fixed knowledge base, a static set of rules, and a prayer that the training data covered enough edge cases. When the world changes, someone has to manually update the system. Usually nobody does. There's a better architecture. It's a five-stage closed loop that turns any system into one that autonomously improves its own understanding over time. We call it the virtuous cycle pattern -- and once you see it, you'lMarch 6, 2026·7 min readIaiThe End of Permanent UIAgents that understand your data should generate interfaces on demand, not force you into pre-built dashboards. Here's how ephemeral UI works today. The Dashboard Problem You have 14 tabs open. Three are dashboards you built last quarter. One shows metrics nobody checks anymore. Another displays a project tracker that drifted from reality two sprints ago. The third is a settings page you'll visit once a year. This is the dirty secret of internal tooling: most UI is built to last but used February 20, 2026·6 min readIaiIndigo Mesh: A Decentralized Information Network for the Post-Cloud EraA framework for connecting on-premises AI systems into secure, self-governing information networks without centralized storage. 1. The Thesis Three forces are converging to create a genuine market shift: AI makes local compute valuable again. When your machine runs autonomous AI workers that read your files, write your code, analyze your data, and learn from your patterns, the machine itself becomes the center of gravity. Your local environment is no longer a thin client calling the clouFebruary 20, 2026·20 min readIaiYour AI Tools Should Grow Like a FernMost enterprise AI projects fail. Not because the technology is bad — but because organizations try to squeeze infinitely diverse workflows into rigid, pre-built templates. Companies spend months contorting their processes to fit software that was designed for a generic "average user" who doesn't exist. There's a better model. And it's been running successfully for about 3.5 billion years. The Two Extremes Enterprise software sits at one end of the spectrum: rigid. Your CRM, your project February 18, 2026·5 min readAI strategiesMastering Prompt Engineering as a Team SkillIntroduction Generative AI tools like ChatGPT and Claude are transforming workplaces, but maximizing their benefits requires a new digital literacy: prompt engineering. This skill involves crafting precise instructions for AI to produce valuable and accurate outputs. Employees adept at AI tools earn, on average, 40% more than their peers, yet only 27% of companies offer AI training (Tom’s Guide). This gap presents a significant opportunity: while AI isn't replacing jobs, it rewards those who aNovember 18, 2025·4 min readAI NewsMondelez's AI Productivity Play Cuts Content Costs by 30%Mondelēz International, the global snacking powerhouse behind brands like Oreo and Cadbury, is proving that generative AI isn't just a buzzword—it's a game-changer. By implementing a tailored generative AI platform, Mondelēz has slashed marketing content production costs by 30–50% (Sunday Guardian Live). Built in collaboration with Accenture and Publicis Groupe, this tool is transforming digital ad and social content production, setting a new standard for enterprise AI with a focus on ROI and agNovember 11, 2025·4 min readAI NewsChatGPT for teams or build your own? Open vs. closed enterprise AIToday's enterprise leaders face a critical decision: Should you adopt a ready-made AI platform like OpenAI’s ChatGPT Enterprise, or build a custom solution with open-source models? This choice significantly impacts organizational productivity, data strategy, and competitive standing. Generative AI adoption is booming, with 65% of organizations now regularly leveraging AI—twice the rate seen in 2023 (Business Today, 2025). As AI becomes integral to daily workflows, deciding between proprietary “November 4, 2025·7 min readAI NewsInside JPMorgan’s ChatGPT for Teams: AI that Boosted Client ServiceJPMorgan Chase, the largest U.S. bank, is at the forefront of enterprise AI adoption. By deploying a ChatGPT-style assistant throughout its workforce, the bank has improved client service and team productivity. This generative AI tool, known internally as a "virtual research analyst," serves as an on-demand knowledge companion for employees (FA-Mag). What began as a cautious experiment has morphed into one of Wall Street’s largest AI deployments, driving tangible results. From Cautious ExperimOctober 27, 2025·4 min readInsightsEmpowering Small Businesses with AI: Inside eBay’s AI Activate InitiativeSmall businesses in the UK are on the brink of a productivity revolution. Through a partnership with OpenAI, eBay has launched a £3 million initiative called AI Activate to assist up to 10,000 UK SMBs in adopting advanced AI productivity tools (TechRadar). This program offers 12 months of complimentary access to ChatGPT Enterprise, coupled with detailed training and support for crafting bespoke AI solutions (TechRadar). eBay and OpenAI want to train small businesses in getting the most out of AOctober 6, 2025·6 min readAI NewsSalesforce’s AI Revolution: 4,000 Support Jobs Automated with AgentforceA New Era in Customer Support Salesforce, a leader in CRM solutions, is setting a new benchmark in customer support through AI. In 2025, the company launched its Agentforce AI platform, automating nearly half of its service tasks and reducing its support team from 9,000 to 5,000 employees. Despite this reduction, service quality not only remained stable but, in some cases, improved (OpenTools.ai; Folio3.ai). CEO Marc Benioff calls this shift an “exciting new chapter,” highlighting AI's rapid imSeptember 27, 2025·5 min readStrategiesClaude’s New Productivity Powers Challenge ChatGPT for TeamsAnthropic’s Claude just leveled up—and it’s not just another AI headline. As of September 2025, Claude can now generate and edit real files—Excel workbooks, Word docs, PowerPoints, and PDFs—on demand, all within a secure chat interface (Anthropic, 2025; Yahoo Tech, 2025). This isn’t about flashy demos—it’s about eliminating the grind of repetitive file work and giving teams a real productivity edge (Tom’s Guide, 2025). Turn Chat Into Output: Claude as a Real Work Partner Claude’s new file genSeptember 15, 2025·3 min readStrategiesAI Productivity ROI: Bridging the Gap Between Potential and ResultsWhy AI’s Promise Isn’t Paying Off—Yet AI is everywhere—hailed as the ultimate productivity unlock for modern teams. Boardrooms buzz with talk of generative AI, and headlines tout trillion-dollar forecasts. But behind the hype, a stubborn reality persists: most organizations aren’t seeing the ROI they expected. Despite massive investments, the productivity gains remain elusive. As economic pressures mount, leaders are asking tough questions: Are our AI tools actually moving the needle, or are wSeptember 10, 2025·4 min readStrategiesBanking on AI: How BNY Mellon's Dev Team Co-Pilots Boosted ProductivityBNY Mellon, with $52 trillion under management, isn’t just keeping pace with Wall Street’s AI revolution—it’s leading it. In 2023, the bank launched Eliza, an enterprise AI platform built on GPT-4 and hosted in Azure, to weave artificial intelligence into every corner of its operations (Cloud Wars). Under CEO Robin Vince, BNY Mellon signed a multi-year partnership with OpenAI, not to replace jobs, but to supercharge efficiency and client service (TIME). Today, every one of BNY’s 50,000+ employeSeptember 3, 2025·6 min readStrategiesBuild or Buy? Selecting AI Productivity Tools for TeamsAI productivity tools have moved from “nice-to-have” to business-critical almost overnight. In 2024, 92% of companies reported ramping up AI adoption, with generative AI now woven into daily workflows (TechTarget). The results are hard to ignore: customer support teams boosted productivity by 14% with AI assistance (PYMNTS), and software engineers at JPMorgan Chase saw efficiency gains of up to 20% (X-Team). In controlled trials, developers using AI pair programmers completed tasks 55.8% faster September 1, 2025·5 min readStrategiesAT&T's AI Assistant: Transforming Employee Support at ScaleAI isn’t just a buzzword at AT&T—it’s a productivity engine. Since ChatGPT’s debut, over 80% of Fortune 500 companies have tested generative AI, and by mid-2024, 65% of U.S. business leaders reported active use (Reuters). But few have operationalized it at the scale of AT&T. Their internal AI assistant, Ask AT&T, offers a rare, practical playbook for deploying generative AI across a massive enterprise. Secure, Scalable AI: How AT&T Built for 100,000+ Employees Ask AT&T launched in 2023 as a sAugust 29, 2025·4 min read