Capabilities: Applied AI

AI With a Job to Do

AI isn’t the answer to every problem. We apply it where it can make a digital product smarter, take work off a team’s plate or make something possible that wasn’t before.

Pare & Co provides applied AI services for enterprise technology, healthcare, education and other organizations looking to put AI to practical use. We help determine where AI can create real value, prepare the systems and data it depends on, and build it into products and workflows with the testing and guardrails it requires.

Our approach to Applied AI

Start with the Problem, Not the AI

The question should never be: Where can we apply AI? It’s where AI can improve an experience, remove repetitive work or give people capabilities they didn’t have before.

This approach requires understanding the problem first, then determining what AI should do, what data it needs, where human judgment belongs and how its output will be tested before anyone relies on it.

What Do We Need to Determine?We Examine
Where can AI create value?User needs, workflows and business goals
Is the organization ready?Data, systems, processes and AI readiness
What should AI do?Tasks, agents, search, recommendations and automation
How do people stay involved?Human review, judgment and oversight
How will we know it works?Testing, accuracy and guardrails
Applied AI Services

AI Inside Your Product and Your Organization

Applied AI can change what a digital product does and how the organization behind it operates. Pare works across both, applying AI to specific problems rather than adding it for its own sake.

AI readiness assessments

Evaluating the data, systems, workflows and organizational requirements that need to be in place before AI can deliver value.

AI-centric applications and products

Building digital products and experiences designed around AI capabilities.

AI-powered experiences

Summaries, recommendations and conversational access that help people find and understand information.

Agent design and development

Agents designed to perform specific jobs within real organizational workflows.

Workflow automation

Automating reports, alerts, checks and other repeatable work.

AI-assisted content operations

Classification, tagging and drafting tools built into CMS and editorial workflows.

Data readiness for AI

Preparing, cleaning and structuring the data AI systems need to produce useful results.

AI search and relevance

Search tagging, metadata, relevance tuning and intelligent discovery, including Algolia.

Answer Engine Optimization and GEO

Structuring content so AI systems can understand, cite and use it when generating answers.

Content for AI agents

Creating and structuring information for consumption by agents as well as people.

AI translation

Applying AI to multilingual content and experiences.

Personalization and recommendations

Using AI to tailor information and experiences to individual needs and context.

Testing and guardrails

Establishing how AI output is tested, reviewed and monitored before people or systems rely on it.

Pare’s Applied AI Practice

We Use What We Build

We are an organization that believes in the transformative power of AI, and we’ve rebuilt our own operating model around it. Agents now handle many aspects of production work so that our people can fully concentrate on strategy, communication, creative problem-solving, client collaboration and judgment.

Our experience informs the AI systems we build for clients. We understand where agents can take on meaningful work, where people need to remain involved and what it takes to integrate AI into an actual workflow rather than leave it sitting in a pilot.

Key Applied AI Business Outcomes

How AI Advances Key Business Outcomes

Applied AI primarily drives Intelligence, making digital products smarter and helping organizations operate in ways that weren’t possible before.

It can also contribute to Growth. Greater visibility in AI-generated answers, smarter search and recommendation, personalization and agents that remove barriers can all help people find what they need and act on it more easily.

Capability leadership

  • Christopher Murray

    Christopher Murray

    Founder & CEO

    Chris Murray was an early advocate for content management systems, open source and SaaS, each before it was the obvious choice. He now applies the same judgment to AI: what it is worth building, and what it is not.

What could Applied AI move for you?

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