Deploy AI agents that deliver measurable ROI. Fixed cost. Rapid deployment.
The AI Agent Accelerator is a fixed-cost engagement to design, build, test, and deploy 1-2 AI agents that automate repetitive tasks or augment decision-making in your business. Built on Azure AI services, Copilot Studio, and Power Platform — no black-box third-party tools.
This pack is designed for businesses that want to start their AI journey with a tangible, measurable outcome rather than an expensive proof-of-concept that goes nowhere. Common use cases include document processing (invoice extraction, contract review), customer query triage, internal knowledge search, email classification, data entry automation, and report generation.
Every deployment includes an ROI measurement framework so you can track the business impact from day one. All agents include guardrails, human-in-the-loop checkpoints, and audit trails — responsible AI is built in, not bolted on.
The accelerator is the fixed-price way to start: one process, one metric agreed upfront, measured before and after.
Once a pilot proves the numbers, the same approach scales across a whole process. These are the results it has delivered at scale for three clients.
Order to cash, procure to pay and bank reconciliation run by agents.
Tickets taken from triage to a tested, CAB-ready change by agents.
AI testing of every bug fix and every release through the UI, with version changes mapped to user stories.
Identities, least privilege, segregation of duties and audit trails.
Finance operations · PE-backed group
£32m
Annual savings
450+ FTE of capacity released
IT operations · PE-backed business
£7m
Added to annual EBITDA
70% Leaner IT organisation
Release testing · Business with in-house applications
15+
Testing FTE released
Every Release AI-tested before go-live
Clients are anonymised at their request. See all results.
Workshop to identify and prioritise the highest-ROI AI use cases in your business.
Agent architecture, data source mapping, prompt engineering, and guardrail definition.
Agent built using Azure OpenAI, Copilot Studio, or custom code. Tested against real-world scenarios.
Agent connected to your existing systems: D365, SharePoint, Outlook, Teams, or custom APIs.
Agent deployed to production with monitoring, logging, and alerting configured.
KPI dashboard and measurement framework to track time saved, cost reduced, and accuracy improved.
User training on how to interact with the agent, escalate issues, and provide feedback.
Ethical review, bias testing, data privacy assessment, and governance documentation.
Three tiers to match different AI ambitions. Start with a single agent and scale based on proven results.
One focused AI agent for a single use case. Quick ROI proof point.
Starting at
£8,000GBP
indicative price*
Deploy 2–3 agents across different use cases or departments.
Starting at
£18,000GBP
indicative price*
Comprehensive AI deployment with custom agents, advanced integrations, and governance.
Starting at
£35,000GBP
indicative price*
All prices are indicative. Final pricing confirmed after use case discovery workshop. Azure consumption costs are additional.
The AI Agent Accelerator is for any UK business that wants to deploy AI with a clear business case and measurable ROI — not just an experiment.
Week 1
Workshop to identify, evaluate, and prioritise AI use cases. Score by ROI potential, feasibility, and data readiness.
Week 2
Define agent architecture, data sources, prompts, guardrails, and success metrics.
Weeks 3–4
Agent developed iteratively. Tested against real data with stakeholder feedback loops.
Week 5
Agent deployed to production environment with monitoring, logging, and alerting.
Weeks 5–8
Agent performance tracked against KPIs. Prompts refined, edge cases addressed, ROI measured.
Timelines depend on data readiness, integration complexity, and stakeholder availability.
Extend your AI deployment with additional capabilities.
This solution is built on Microsoft's AI platform, giving you enterprise-grade reliability with responsible AI governance built in.
Build, test, and deploy custom AI agents with a low-code visual designer.
Pre-built and custom AI models for document processing, text analysis, and prediction.
An AI agent is a software system powered by artificial intelligence that can autonomously perform tasks, make decisions, or assist humans. Examples include document processors that extract data from invoices, chatbots that triage customer queries, or assistants that summarise meeting notes and create action items.
No. If you have a Microsoft 365 or Azure subscription, you already have the foundation. Veriland will provision and configure the necessary Azure AI services as part of the engagement. If you do not have Azure, we can set that up too.
Every deployment includes an ROI measurement framework. We define KPIs upfront (e.g., hours saved, error rate reduction, cost per transaction) and build a dashboard to track them, so you can see the return against the baseline.
Yes. All AI agents run within your Azure tenant. Your data never leaves your environment. We follow Microsoft Responsible AI principles and include data privacy assessments, access controls, and audit trails in every deployment.
All agents include human-in-the-loop checkpoints for high-stakes decisions. Confidence thresholds determine when the agent acts autonomously versus when it escalates to a human. You control the level of autonomy.
Yes. AI agents can read from and write to Dynamics 365 Business Central, Sales, Customer Service, and Finance & Operations. Common integrations include invoice processing, customer query handling, and data enrichment.
The starter pack includes a post-deployment monitoring period. For ongoing agent management, optimisation, and governance, see our Agent Monitoring & Governance managed service.
Absolutely. The Single Agent pack is designed as a starting point. Once you see results, you can deploy additional agents across departments or processes using the Multi-Agent or Enterprise packs.
Veriland built a production property search platform for a UK water utility processing 4,000+ orders per month — then rebuilt it from scratch as VeriConvey, an AI-native SaaS product bringing agentic automation to the entire UK conveyancing industry.
Brighton Harwood partnered with Veriland to build an AI-powered investment intelligence platform on Azure AI Foundry — extracting insight from 15 years of unstructured deal data using fine-tuned models, RAG architecture, and Dynamics 365 Finance & Operations.
XenVit deployed Dynamics 365 Finance & Operations across multinational operations and fine-tuned an open-source LLM on Azure to transform sales, marketing and customer service.
Book a free use case discovery session. We will identify the highest-ROI AI opportunity in your business.
Or call us directly: 01625 569 777
