We design AI adoption strategies, chatbots for customers or employees, and RAG systems connected to your own knowledge. We start by defining the use case, the available sources and how to review the results.
or write to us at info@theoptimalflow.com
We start with a few questions to understand your context and suggest the next step
−90%
reduction in cost per interaction with a chatbot compared with human support
Our indicative estimate, based on results we have measured. It varies with the type of query, volume and human support required.
10×
team response speed with RAG on your own knowledge
Our indicative estimate, based on results we have measured. It depends on the questions, available sources and the review the answers require.
3–8 wk
from diagnostic to first AI use case in production
Our indicative estimate, based on results we have measured. Timing depends on scope, access to data and the checks required.
The problem
The initial review covers the tasks AI needs to handle, access to internal knowledge and oversight of its answers. With that context, we define what to test before expanding its use.
Symptom · 01
Before expanding a pilot, we define the task it must handle, who reviews its answers and which outcome will be measured. Those tests inform the decision to continue.
78%
Symptom · 02
Survey conducted in February–March 2024 among 31,000 knowledge workers across 31 markets. The 78% refers to those using AI at work.
Microsoft and LinkedIn · Work Trend Index 2024 View the Microsoft and LinkedIn study (2024)
The report calls this practice BYOAI. For a deployment, we review which tools are used, which data they receive and which permissions they need.
Symptom · 03
We connect relevant sources so AI can retrieve context and cite it.
Symptom · 04
We define which queries the chatbot can handle and when a person should step in. We connect the chatbot to the agreed sources and review its answers before expanding its use.
How we help
The stack
Each use case calls for its model: deep reasoning for analysis, cross-cutting day-to-day use, integration with the existing stack, or enterprise search across all knowledge.
Anthropic's model: deep reasoning, long context, and excellence in technical analysis, writing, and code.
Google's multimodal model, natively integrated with Workspace, Cloud, and the rest of the ecosystem.
AI embedded in Microsoft 365. Word, Excel, Outlook, Teams. The natural entry point in organizations with a Microsoft stack.
Enterprise search and RAG across your whole stack. Notion, Slack, Drive, Salesforce, GitHub. The knowledge layer that bridges silos.
We have worked with more than 200 clients. Each stage has deliverables before the next begins and is carried out in collaboration with the client's team.
Diagnostic
We audit existing processes and the current stack. We map bottlenecks and optimization opportunities to define priorities and reduce risks in the following stages.
Planning
We define target architecture, rollout plan, roles, and metrics before getting into the weeds.
Build
We execute in short iterations with your team. We create, adapt, and integrate with your existing tools.
Rollout
We start with a test and expand after validation. We train your team so adoption feels natural.
Follow-through
We measure and listen to feedback throughout so the result truly becomes yours.
Why us
Holistic approach
We see every process as part of a whole. We act as change catalysts combining innovation, diversity, and radical honesty to build real solutions aligned with our clients' goals.
Optimization as the standard
We believe in turning complexity into intuitive systems where every gear runs naturally, maximizing the time, resources, and creativity of the people using them.
Partners, not clients
We co-create with your internal team to build tailored solutions that prioritize long-term impact over short-term wins.
Book a free intro session so we can understand where you stand and how we can help. No strings attached.
or write to us at info@theoptimalflow.com
