No Clear Use Case
AI gets deployed before anyone identifies what it should actually improve.
Koltiv's AI Advisory Services help businesses identify where AI delivers real value, build what off-the-shelf tools can't, and govern AI use across whatever your platform your team relies on, Microsoft Copilot, ChatGPT, Gemini, Claude, or a combination.
95% of AI pilots produce no measurable ROI. Not because the technology fails, but because nobody asked the right questions before they started.
AI gets deployed before anyone identifies what it should actually improve.
Your workflows are specific. Generic AI tools were not built for them.
AI is in use with no policy, no oversight, and no way to report on it.
Without a baseline, nobody can say whether AI made anything better.
Before we talk about any platform, we want to understand what you are actually trying to solve. What is slow, expensive, or frustrating about how your team works today? Where would AI make the most difference if it worked exactly the way your operation needs it to? That conversation determines what we build, and sometimes the answer is not AI at all.
We map your processes and find where AI delivers the most meaningful return
Before you commit, you know what success looks like and how to measure it
AI built for your workflows, your data, and your systems. Not a generic template
Policy, oversight, and reporting structure that makes AI decisions defensible
Microsoft Copilot, ChatGPT, Gemini, Claude, and custom-built agents all solve different problems well. The right fit depends on your data, your workflows, your existing systems, and what you're trying to accomplish. We don't default to one platform because it's the one we're most familiar with. We figure out what fits, then build around it.
If your business runs on Microsoft 365 and the right answer turns out to be AI built directly into the tools your team already uses, Koltiv's Copilot Enablement Program is built specifically for that. It's a structured path: assess your environment, secure the foundation, deploy with adoption in mind, and keep it running. If that sounds like where you're headed, that program may be the more direct starting point.
If your situation is different, whether you're already using other AI tools, need something custom-built, or aren't sure which platform makes sense, that's exactly the conversation AI Advisory is for.
Who it's for: Organizations that know AI matters but haven't identified where it would deliver real value, or that want to validate an idea before committing budget to it.
What it covers: We map your business processes, identify where AI could meaningfully accelerate work, and model the projected return for each opportunity. The output is a prioritized roadmap, not a list of possibilities. You'll know which opportunities are worth pursuing first and what success looks like for each one.
What you get: A clear, ranked set of AI opportunities specific to your operation, with ROI projections and a recommended sequence. This is the step that the 95% of failed AI pilots skipped.
Who it's for: Organizations with a specific workflow or process that off-the-shelf AI tools don't address, whether that's a custom integration, a proprietary dataset, or a task that needs to run a specific way every time.
What it covers: We design and build custom AI agents tailored to your business, your data, and your systems. The right platform depends on your situation; this might mean Copilot Studio, a custom build on top of ChatGPT or Claude, a Gemini-based workflow, or something assembled from multiple tools. The agent is built around how your team actually works, not adapted from a generic template, and not defaulted to whichever platform happens to be easiest to sell.
What you get: A working AI agent that performs a defined task inside your operation, integrated with the systems it needs to talk to, and built to your specifications.
Who it's for: Organizations that have AI in use, whether approved tools, free AI tools employees have adopted on their own, or a completed Copilot deployment, and need a structure to govern how AI gets used, evaluated, and reported on.
What it covers: We help you build an organization-wide AI policy: what data can go into AI tools, how AI output should be reviewed before action is taken, who is accountable for AI decisions, and how AI use and impact get reported over time. This includes a steering structure so governance is sustained, not a one-time document.
What you get: A documented AI policy and oversight structure that makes your AI use consistent, defensible, and reportable to leadership or a board.
We start with a conversation about your operation, not a platform demo. What's slow, expensive, or frustrating? Where do you suspect AI could help? What have you already tried?
Based on what we learn, we recommend the engagement, or combination of engagements, that fits. Sometimes that's a strategy exercise. Sometimes it's a build. Sometimes it's governance. We'll tell you which one, and why.
We follow through, whether that means building the agent, delivering the roadmap, or standing up the governance structure your team can run going forward.
We ask them. Before we recommend anything, we want to understand your operation well enough to know whether AI is even the right answer, and if it is, what platform and what approach actually fit. Some businesses need a strategy conversation. Some need something built. Some need governance over tools that are already in use, whatever those tools are. A few need all three.
If your business runs on Microsoft 365 and the right fit turns out to be AI built directly into Microsoft's tools, our Copilot Enablement Program is a more structured starting point built specifically for that. If your situation calls for something else, or if you're not sure yet, that's exactly what this conversation is for.