One AI consultants

Q: How is One AI different from building our own NLP models?

One AI removes the need to collect training data, train models, and manage ML infrastructure. Its pre-built skills work out of the box on general text. The trade-off is less customisation compared to purpose-built models, but for common NLP tasks like summarisation and entity extraction, the quality is strong enough for most business applications.

Q: Can One AI process audio and conversation data, not just text?

Yes. One AI accepts audio input and can transcribe it before applying NLP skills. This makes it useful for processing recorded calls, meeting recordings, or voicemails. You can transcribe audio and then chain summarisation or action item extraction in the same API call.

Q: What kind of data processing pipelines can be built with One AI?

Common pipelines include: extracting structured data from unstructured support emails, summarising long documents for review queues, classifying inbound enquiries by topic for routing, pulling entities and key phrases from contracts or proposals, and generating meeting summaries with action items from recorded calls.

Q: How does One AI handle different languages?

One AI supports multiple languages for most of its skills, though English coverage is the most comprehensive. If your business processes multilingual content, it is worth testing the specific skills you need against your target languages to confirm accuracy meets your requirements before committing to a production pipeline.

Q: What are the main integration considerations for One AI?

Key factors include API rate limits (which vary by plan), response latency for long documents, data privacy policies for the text you send through the API, and cost per API call at your expected volume. You should also consider whether the pre-built skills match your specific use case closely enough, or whether fine-tuned models would be needed.

We can help you automate your business with One AI and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing One AI.

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About One AI

One AI is a language AI API platform that gives developers access to pre-built natural language processing (NLP) capabilities through a single unified API. Instead of training custom models, you call One AI’s endpoints to perform tasks like text summarisation, sentiment analysis, keyword extraction, topic detection, and entity recognition on any text or audio input.

The problem One AI solves is that building NLP pipelines from scratch is slow and expensive. Most businesses need the same core language capabilities (summarise this document, extract these entities, classify this text), but training and hosting models requires ML engineering resources that many teams lack. One AI packages these capabilities as composable API “skills” that can be chained together in a single request.

Osher connects One AI into automated data processing pipelines where unstructured text needs to be parsed, classified, or summarised at scale. For example, we have built workflows that use One AI to extract key information from incoming support emails, summarise meeting transcripts, or classify documents by topic before routing them to the right team. Our AI agent development practice uses tools like One AI as components within larger intelligent systems.

One AI FAQs

Frequently Asked Questions

Common questions about how One AI consultants can help with integration and implementation

What does One AI actually do?

One AI provides a REST API with pre-built NLP capabilities called “skills.” You send text or audio to the API and specify which skills to run: summarisation, sentiment analysis, keyword extraction, topic detection, entity recognition, or action item detection. Multiple skills can be chained in a single API call, so you can summarise a document and extract entities in one request.

How is One AI different from building our own NLP models?

Can One AI process audio and conversation data, not just text?

What kind of data processing pipelines can be built with One AI?

How does One AI handle different languages?

What are the main integration considerations for One AI?

How it works

We work hand-in-hand with you to implement One AI

As One AI consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate One AI with integrate and automate 800+ tools.

Step 1

Process Audit

We review your existing document processing, text analysis, and data extraction workflows. We identify where unstructured text or audio is currently handled manually, map the volume and variety of content being processed, and document what structured output you need from that content.

Step 2

Identify Automation Opportunities

We match One AI’s available skills to your specific use cases. This means testing summarisation quality on your actual documents, evaluating entity extraction accuracy against your data types, and identifying which manual text processing tasks can be replaced with API calls.

Step 3

Design Workflows

We architect the data pipeline connecting your content sources to One AI’s API and routing the structured output to your downstream systems. This includes defining skill chains (e.g., transcribe then summarise then extract action items), setting up input preprocessing, and designing output formatting for your database or application.

Step 4

Implementation

We build the integration, configuring API authentication, input handling, skill chain parameters, and output parsing. We connect the pipeline to your content sources (email inboxes, file storage, CRM, or messaging platforms) and your output destinations (databases, dashboards, or notification systems).

Step 5

Quality Assurance Review

We test the pipeline against representative samples of your actual content, measuring summarisation quality, extraction accuracy, and processing speed. We verify that output formatting is correct for downstream systems and test error handling for edge cases like empty inputs or unsupported file types.

Step 6

Support and Maintenance

After launch, we monitor API usage and costs, track output quality over time, adjust skill parameters as your content types evolve, and handle any One AI API updates or deprecations that affect your pipeline.

Transform your business with One AI

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation One AI consultation.

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