AI-native by design. Human-centered by default.

    We're an AI-native organization that designs, builds, and operates human-centered AI products for businesses.

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    About Us

    Think & Co is an AI-native organization that designs, builds, and operates human-centered AI products for businesses. Founded in 2025 by Amos Cohen, who brings over a decade of hands-on product experience and a track record of launching production-grade AI products, the company focuses on designing, deploying, and operating AI workflows that augment human judgment and deliver measurable impact - moving beyond experimentation to products that are actively used and continuously improved.

    Our mission is to be a transparent, trustworthy partner that helps businesses use AI to drive revenue, streamline operations, and augment - not replace - their people.

    Every solution we deliver, from sales and marketing agents to multi-agent operational workflows, is built with a human-centric philosophy that keeps teams in control while unlocking meaningful business value.

    Human-centered AI

    12

    years of experience building and launching digital products

    50+

    software & AI projects launched or led in multiple industries

    $10M

    in lifetime business impact for clients

    70%

    average improvement in critical business metrics

    Our Services

    Product Strategy & Design

    We begin by defining a clear blueprint that answers why and what to build, ensuring your AI product is rooted in real business value rather than hype. Depending on the current phase you are in, we tailor our approach to your needs. We offer different types of strategic engagements in different phases of the product lifecycle, including AI readiness, product discovery, and end-to-end product strategy.

    Product Development

    Next, we turn that strategy into reality by building your custom, well-defined AI product. Whether your product is an AI-powered software application, an agentic workflow, AI automation, or any AI system you may desire, we will build it for you. We will integrate it into your existing operations or revenue streams, and we will continuously optimize it for you.

    Agents-as-a-service

    For a hands-off approach, we offer our proprietary AI Agents so you focus on results while we handle the execution. Instead of investing in a custom AI product, you can use our agents to get started quickly and efficiently. Our agents are offered as a managed service with performance-based pricing tied to measurable outcomes, making ROI transparent and accessible for your business.

    AI Insights

    Your AI Is Citing Sources That Don't Exist: The GenAI Research Crisis

    Jan 6, 2026

    Your AI Is Citing Sources That Don't Exist: The GenAI Research Crisis

    The citations look real. The sources seem credible. Until someone actually clicks through to verify. Then it falls apart.

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    Why Agentic Sales and Marketing Actually Work: The Inconsistency Advantage

    Jan 5, 2026

    Why Agentic Sales and Marketing Actually Work: The Inconsistency Advantage

    These fields dominate AI production deployments not despite their tolerance for variation, but because of it. Precision-critical areas need a different approach.

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    The Data Problem Businesses Overlook: Why AI Agents Fail Without Human-Led Data Curation

    Jan 5, 2026

    The Data Problem Businesses Overlook: Why AI Agents Fail Without Human-Led Data Curation

    You have data scattered across websites, emails, and CRMs. But without humans connecting, transforming, and maintaining it, your AI agent can't work.

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    You Can Build an AI Agent in Minutes. The Operations Problem Takes Months.

    Jan 4, 2026

    You Can Build an AI Agent in Minutes. The Operations Problem Takes Months.

    Why the hardest part of AI isn't the demo, it's the data, costs, hallucinations, and orchestration that no platform talks about.

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    The Invisible Brand: Why Small Businesses Are Not Getting Cited by ChatGPT (and How to Fix it)

    Dec 15, 2025

    The Invisible Brand: Why Small Businesses Are Not Getting Cited by ChatGPT (and How to Fix it)

    Deciding where to allocate marketing budget to overcome the Big Brand Bias and achieve visibility in ChatGPT, Claude, Gemini, and others.

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    Is AI Actually Relevant for Your Business?

    Dec 5, 2025

    Is AI Actually Relevant for Your Business?

    A simple test for SMB leaders to find real value (not hype)

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    Three Questions to Test If Your Next AI Idea Will Actually Move the Needle

    Dec 5, 2025

    Three Questions to Test If Your Next AI Idea Will Actually Move the Needle

    A simple decision filter for SMB leaders to pick AI projects that really impact revenue, risk, and time - not just add complexity.

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    Human-in-the-Loop or AI-in-the-Loop? Why Your People Still Need to Pull the Strings

    Dec 4, 2025

    Human-in-the-Loop or AI-in-the-Loop? Why Your People Still Need to Pull the Strings

    Design AI so your people stay in charge - protecting revenue, reputation, and compliance while still gaining speed.

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    No Lead Left Behind: Using Agentic AI in Sales to Follow Up on 100% of Inbound Interest

    Dec 4, 2025

    No Lead Left Behind: Using Agentic AI in Sales to Follow Up on 100% of Inbound Interest

    Stop losing revenue to slow response times - turn the "5-minute rule" into your biggest competitive advantage without adding headcount.

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    Frequently Asked Questions

    AI helps businesses do more with the same team by automating repetitive work and improving speed and consistency. When applied thoughtfully, it supports growth rather than adding complexity.

    Begin with a narrow, well-defined task and test AI in a controlled way. Avoid large rollouts early and focus on learning whether the solution actually improves outcomes.

    Common use cases include lead follow-ups, customer support triage, reporting, content drafting, and internal operations automation. These are areas where speed and consistency matter more than human creativity.

    Success is measured by before-and-after business metrics like response time, conversion rate, hours saved, or error reduction. AI projects should be evaluated like any other investment, not as experimentation for its own sake.

    AI usually delivers ROI through time savings, faster responses, fewer errors, or higher conversion rates. Gains are often incremental but compound quickly when applied to core workflows.

    Risks include incorrect outputs, data privacy concerns, and over-automation of sensitive decisions. These risks are reduced by keeping humans involved and limiting AI to appropriate tasks.

    No. AI works best when layered into existing processes rather than forcing organizational change. The goal is improvement, not disruption.

    Start by mapping one core workflow tied to revenue or customers and look for repetitive steps like data entry, follow-ups, or summaries. Those steps are often ideal candidates for AI assistance, while humans remain in control of decisions.

    No. Most effective AI projects start with existing business data such as CRM records, emails, spreadsheets, or support tickets. What matters more than sophistication is having clear workflows and accessible data.

    Human-centered AI means AI supports people rather than replacing them. AI handles volume and speed, while humans stay responsible for approvals, pricing, judgment calls, and customer trust.

    Let's Chat

    Interested in more information? Ready to discuss next steps with our staff? Our AI assistant can help.

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