Agentico Ltd

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Overview

$1,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

2024

Year Founded

ABOUT AGENTICO LTD

Specialists in Agentic AI & Engineering

AI Agents for Task Automation & ML for Business Optimization Experienced in Various Industries Offering Cost-Effective Solutions

Languages Spoken

English

HIGHLIGHTS

$1,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

2024

Year Founded

Services

Focus

Industries

Clients

Services Provided

40% AI Strategy & Roadmap Consulting

40% Machine Learning Model Development

20% Conversational AI & Voice Assistant Development

About the Team

OUR STORY

Founded by Oliver Morris, an AI specialist with over 14 years of board experience, our company champions the integration of AI and Machine Learning for small and medium-sized businesses. Oliver brings a rich background, from his roles at Capgemini Engineering to directorships in finance and product development for substantial firms. Since 1997, he has immersed himself in statistical learning, earning 30 certifications and becoming a Microsoft certified programmer. Our services are bolstered by a Singapore-based partner team comprising data scientists and AWS architects. Grounded in the West Midlands yet serving the UK widely, our ethos 'AI with Humans in Mind' emphasizes empowering teams by automating routine tasks. Guided by principles like trust, careful development, and straightforward support, our logo pays

Portfolio

Inventory Optimisation for Automotive Components

Morris Corfield & Co Ltd

Enhanced the parts inventory for a machinery company with 25,000 stock items across four locations and a seasonal ordering pattern (annual order value of GBP 3 million). Developed two demand forecasting models: a Statistical model (ARIMA) and a Neural Network model (Tensorflow 1D CNN). Conducted staff interviews to establish rules for ordering, pricing, and handling exceptions (e.g., warranty situations). Integrated the system with the SQL-based ERP and created a workflow for order recommendation explanations, approvals, and distribution. As a result, the client's losses from ordering unnecessary components decreased by 25%. This solution recovered its costs within the first year.

Automated Market Research & Comparison

Over the Stile

**Problem:** The personal coaching sector is becoming increasingly competitive, making it essential to identify the markets coaches are targeting and those that may be overlooked. The client sought to automate a labor-intensive research task that compares services across established criteria. As industry trends evolve, it's crucial to frequently assess the relevance of these comparison criteria. **Solution:** We suggested a primary approach along with several variations to enhance service delivery: **Basic Approach 1:** - Utilize AI Agents (OpenAI GPT-3.5) to conduct web searches for services. - Filter the results based on relevance to the selected comparison criteria, then summarize the pertinent features of each service (using Anthropic Claude 3). - Instruct AI agents to rate features of the services on a scale of 0-10 according to an agreed-upon rubric. - Send the user a summary of the comparison and a chart via email. **Variations Explored:** - Using Tavily and Perplexity for web searching. - Assessing similarity in sentence embeddings for a more objective scoring system. - Combining AI-generated scores with embedding similarities for comparisons. - Employing AI to suggest the most relevant criteria for distinguishing the services. - Coordinating AI agents with MS Autogen instead of CrewAI. - Utilizing OpenAI GPT-4 in place of Anthropic Claude 3 for suggesting comparison dimensions. **Outcome:** The optimized reports fulfilled the client’s quality standards and saved them numerous hours each month. Additionally, receiving an impartial evaluation of the most effective comparison dimensions was an added advantage.

Anomaly Detection in Accounting Transactions

Morris Corfield

**Problem**: The client, governed by the Financial Conduct Authority, is obligated to conduct monthly audits of its accounting and ERP systems to identify financial misconduct and unusual transactions. These exceptions must be reported at a monthly board meeting, as required by the regulatory body. Given the company processes hundreds of thousands of transactions each year, manual audits are impractical. Additionally, defining the nature of misconduct or anomalies is challenging, as false alarms could lead to distrust or complacency among users. **Solution**: We performed a literature review and developed a machine learning algorithm for anomaly detection, inspired by an architecture previously proposed by PWC accountants. This involved creating a deep 'variational autoencoder' that utilized nominal transactions from the accounting system, which is a readily available source of high-quality data. The model was trained to identify anomalies with adjustable sensitivity. Extensive testing ensured that the default sensitivity level was set correctly. As the data was sensitive, it could not be transferred outside the company's premises. We established secure data pipelines to extract accounting data daily and optimized the model to process all data on-site. Results were communicated to managers only when exceptions occurred, and a log of activities was maintained on the server and sent to a backup location weekly for auditing purposes. **Outcome**: The model promptly flagged a few unusual transactions that management had not previously noticed. Investigating these with staff revealed interesting stories but no malicious intent. This fostered trust among management and impressed staff, showcasing the model's capability to uncover hidden issues within the business. Management now has documented activities to assure the FCA that they are taking fraud and compliance seriously.

Projects & Clients

Project Size & Rate

Minimum Project Size

$1,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$1,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

"Agentico Ltd delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet. Reviewers either haven't shared a project budget or kept theirs confidential.

Select a service

AI Strategy & Roadmap Consulting

Machine Learning Model Development

Conversational AI & Voice Assistant Development

Locations

Headquarters

18 Swan Meadow

Much Wenlock, England, United Kingdom TF13 6JQ

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Portfolio

Inventory Optimisation for Automotive Components

Morris Corfield & Co Ltd

Automated Market Research & Comparison

Over the Stile

Anomaly Detection in Accounting Transactions

Morris Corfield