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The tools your team already uses. Made significantly better.

The most effective AI implementations are the ones nobody notices — because they're already inside the workflow, making every step a little faster and a little sharper.

No commitment. No jargon. Just an honest conversation about what's possible.

Most AI tools are bolted on at the edges. That is why most teams stop using them.

A standalone chat interface. A separate summarisation tool. A different app to switch to when you need help drafting something. The friction of switching contexts means people use these tools less than they should — or not at all. The AI investment does not pay off because the AI is not where the work happens.

The benefit of AI assistance comes from consistent use. Consistent use comes from availability inside the tools people already trust. If someone has to open a new tab to get help, most of the time they will not bother.

The answer is not a better standalone AI tool. It is AI assistance that lives inside the workflow — surfacing when it is useful, in the place where the work is already happening.

Why not just use Microsoft Copilot or a generic AI assistant?

Microsoft Copilot 365, Google Gemini for Workspace, and similar tools offer broad AI assistance across their platform's native apps. For teams already standardised on those stacks, they are a reasonable starting point. The limitation is that they are generic — they do not know your specific processes, your customers, your product, or how your team actually works.

Generic AI assistants (Copilot 365, Gemini)Standalone AI toolsKriyaFlow copilot
Trained on your content?No — general knowledge onlyNoYes — your documents, templates, processes
Embedded in your tools?Microsoft/Google apps onlySeparate interface to switch toDesigned around your specific stack
Knows your processes?NoNoBuilt around how your team actually works
Custom escalation and routing?Not availableNot availableDesigned per your workflows
Works outside Microsoft/Google?NoStandalone onlyIntegrates across your stack regardless of vendor

Generic AI assistants are a good starting point for general tasks. For teams that need AI that understands their specific business — we are the right next step.

We embed AI assistance directly into the tools your team uses every day.

CRM, project management, communication platforms, custom internal tools — we build AI layers that surface when and where they are useful, without requiring anyone to change how they work or learn a new platform.

We start by understanding which tools your team uses most and where the friction or repetition lives inside them. Then we design an AI layer that fits naturally into those existing workflows — not one that sits alongside them.

Every integration is documented and handed over with training. Your team understands what the AI layer does, what it does not do, and how to adjust it as your needs evolve. Nothing is a black box only we can maintain.

What you receive

  • CRM enhancements: auto-drafting follow-up emails, summarising deal history, flagging at-risk accounts
  • Project tool integrations: generating task breakdowns, summarising meeting notes, flagging blockers
  • Communication platform bots for Slack and Teams: answering questions, routing requests, running workflows
  • Internal tool AI layers: intelligent search, contextual suggestions, auto-fill from existing data
  • Document and proposal drafting assistants trained on your templates and voice
  • Custom AI interfaces built into existing dashboards or admin tools

We follow the same process on every engagement — because the predictability is part of what you're paying for.

Every project is scoped after the discovery call. You receive a fixed timeline and a fixed price before any work begins.

1

Discovery

Free. No commitment.

We understand which tools your team uses most and where the friction or repetition lives inside them — which tasks take longer than they should, which steps require switching context, and where people are working around the tools rather than with them.

2

Design

We design the AI layer to fit naturally into existing workflows rather than adding new ones. We choose the right integration approach for your tools and design the logic, prompts, and escalation rules before any build begins.

3

Build

We build the integrations, test with real tasks from your team's actual work, and refine based on what we learn. Nothing goes near a production environment until it has been tested against real scenarios.

4

Handover

We train your team and hand everything over with complete documentation — including how the AI layer works, how to adjust its behaviour, and how to extend it as new needs emerge.

This service fits some businesses much better than others. Here is who typically gets the most from it.

Sales and account teams spending too long on admin between conversations

Following up, summarising calls, drafting proposals, updating the CRM — the work between customer interactions takes longer than the interactions themselves. An AI layer embedded in your CRM handles the drafting and logging so your team focuses on the conversations that actually move things forward.

Operations teams managing complex workflows across multiple tools

Your team jumps between a project tool, a communication platform, and a set of internal documents to get anything done. An AI layer that understands all three surfaces the right information and the right next step in whichever tool the work is already happening — no context switching required.

Businesses that have tried generic AI tools and found them too broad

You gave the team access to ChatGPT or Copilot. Some people use it occasionally. Most do not, because it does not know your business, your customers, or your way of working. A custom copilot built around your specific content and processes is a different thing entirely.

Before the discovery call

The questions most people ask before booking a call.

Start with a thirty-minute conversation.

We review your situation before we speak, ask the right questions on the call, and give you an honest assessment of where an AI copilot can genuinely help — and where it cannot. If the fit is not right, we will tell you that.

No sales process. No proposal before a conversation. Just an honest assessment of what is possible.

Chamila or Sajitha will respond within one business day.

Prefer email? hello@kriyaflowai.com