ERS works with organisations to design and deploy agentive AI solutions that go beyond chatbots and co-pilots. These autonomous AI agents understand goals, plan multi-step tasks and take actions across your systems – helping teams move faster while keeping you firmly in control.
20+ years – delivering complex software
25+ specialists – AI & integration expertise
Secure, governed & enterprise-ready
Example Agent Workflow
Goal | Plan | Act
1 Understand the request
Update all open tickets from ACME Ltd and notify account manager.
2 Plan the work
Locate tickets ? filter by customer ? apply updates ? prepare summary.
3 Call tools & systems
Connect to CRM, service desk and email under defined permissions.
4 Report back
Provide a clear audit trail of actions for human review.
What Is Agentive AI?
From chatbots to capable digital co-workers
Agentive AI (or agentic AI) refers to autonomous AI agents that can perceive context, reason about objectives and take actions to achieve a defined outcome. Instead of simply responding to a single question, they break work into steps, call tools and systems, adapt to what they find and report back.
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Translate high-level goals into detailed action plans.
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Call APIs, business systems and tools on behalf of your team.
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Coordinate multi-step workflows with minimal supervision.
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Adapt when something changes or a step fails.
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Learn from results to improve future performance.
From ad-hoc to defined
Automate what’s already working? just too slowly
We don’t try to reinvent your organisation.
Instead, we capture the processes that already exist and define them clearly, then design automations that make them run faster, more reliably and with fewer manual touchpoints.
Why IT Matters
Why organisations are adopting Agentive AI
Agentive AI is a practical way to unlock value from AI in everyday operations. Instead of isolated prototypes, you gain AI “workers” that plug into existing systems and help teams get more done in less time.
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Free staff from time-consuming, repetitive tasks across support, operations and admin.
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Create 24/7 digital workers that don’t miss handovers or lose context.
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Deliver more consistent, auditable processes for regulated or high-risk workflows.
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Provide more personalised experiences for customers and employees.
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Coordinate complex workflows across multiple systems, teams and data sources.
Start small, scale sensibly
We focus on targeted, high-impact scenarios first – for example, a single support, operations or back-office workflow.
Once you can see tangible results, we help you expand agent capabilities to new teams and processes in controlled phases.
Use Cases
Real-world Agentive AI applications
Below are some of the ways organisations are putting agentive AI to work today. You can start with one or two focused use cases and grow from there.
Customer Support & Service Agents
Autonomous support agents handle queries across email, chat and web, triaging issues, pulling data from CRM/ERP systems, updating tickets and escalating only the cases that truly need a person. This shortens resolution times and reduces support costs while improving customer satisfaction.
Ideal for high-volume service desks
Back-Office & Operations Co-Workers
AI agents can process orders, validate data, trigger approvals, update records and coordinate between finance, operations and logistics tools. Think of them as digital operations assistants that quietly keep everything moving in the background.
Finance, operations & shared services
Sales, Marketing & Personalisation
Agentive AI can qualify leads, enrich contact data, schedule follow-ups, personalise content and optimise campaign targeting in real time. Agents learn from performance data and continuously refine who to contact, when to engage and with what message.
Commercial & growth teams
IT, Security & Monitoring Agents
Autonomous agents monitor infrastructure, logs and network activity, detect anomalies, open incidents, run diagnostics and in some cases automatically apply fixes or isolations – helping IT teams respond faster and reduce downtime.
IT, DevOps & security teams
Knowledge & Research Assistants
For knowledge-heavy teams, agents can read large document sets, extract insights, maintain knowledge bases, draft summaries and answer complex questions using internal data – all with appropriate access controls and traceability.
Research, advisory & compliance
Supply Chain & Field Operations
Agentive AI helps forecast demand, optimise routes, adjust inventory levels, re-order stock and coordinate with suppliers or field technicians based on real-time conditions � keeping operations responsive and efficient.
Logistics, utilities & field service
Our Services
Agentive AI services from idea to production
ERS supports the full lifecycle of agentive AI solutions – from identifying the right use cases through to development, integration, governance and ongoing optimisation.
Strategy & Use-Case Discovery
We run discovery workshops with your stakeholders to pinpoint high-value, low-risk processes for agentive automation, define success metrics and shape a realistic roadmap.
Agent Architecture & Design
Our team designs the right mix of LLMs, tools, APIs, memory, monitoring and guardrails to create safe, controllable agents aligned with your technical and compliance requirements.
Custom Agent Development
From a single agent to multi-agent systems, we build solutions that can plan tasks, call your systems, collaborate with humans in the loop and scale as adoption grows.
Integration with Your Systems
We connect agents to your existing software � CRMs, ERPs, ticketing tools, custom applications and middleware � so work happens where your data already lives.
Governance, Security & Compliance
ERS implements permissions, approvals, logging and audit trails tailored to your risk profile, ensuring agents operate safely within your policies.
Ongoing Optimisation & Support
Once live, we monitor performance, refine prompts and tools, add new capabilities and help you expand agentive AI into new areas of the business.
Why ERS
A trusted partner for production-grade Agentive AI
Agentive AI is most effective when it sits on top of a solid software and integration foundation. ERS brings long-standing engineering experience together with modern AI practices to deliver solutions that work in real-world environments..
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More than two decades of experience delivering complex, integrated systems.
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Full-stack capabilities across backend, frontend, mobile, cloud and integration.
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Practical, value-first approach that focuses on business outcomes, not hype.
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Transparent operation: you decide what agents can do and when humans must approve.
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Irish-based team trusted by public and private sector organisations.
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Long-term partnership mindset with support that continues beyond the pilot phase.
How We Work
Our Agentive AI delivery approach
We follow a clear, collaborative process that keeps stakeholders engaged and ensures each automation project delivers measurable value quickly, while laying foundations for future growth.
1 DESIGN
Discovery workshop
Understand your processes, systems, constraints and objectives. Identify where agentive AI can make an immediate difference.
2 PRIORITISE
Use-case & feasibility assessment
Score candidate workflows for impact, complexity and risk, then select a focused pilot that can deliver measurable results.
3 BUILD
Pilot agent build
Design, develop and integrate an agent that supports a specific, well-defined workflow, with clear governance around actions and approvals.
4 PROVE
Test, refine & harden
Run the agent in a controlled environment, gather feedback, fine-tune prompts and tools, and harden monitoring and guardrails.
5 SCALE
Scale out
Extend the agent or introduce new agents into adjacent workflows, rolling out training, communications and ongoing support.
6 EVOLVE
Continuous improvement
Use real-world usage data to improve performance, expand capabilities and keep your agentive AI aligned with changing business needs.
Ready to explore Agentive AI for your organisation?
Whether you have a specific workflow in mind or just want to understand
what’s possible, ERS can help you identify a sensible starting point and
design a pilot that proves value quickly.
FAQs
Agentive AI questions we’re often asked
How is agentive AI different from a chatbot?
A chatbot typically responds to individual messages and may answer questions or perform simple lookups. Agentive AI agents can understand objectives, break them into steps, call tools and systems, and carry out multi-step tasks – then report back with what they’ve done.
Is it safe to let AI agents take actions in our systems?
Yes, provided they are designed with clear guardrails. ERS configures strict permissions, audit logs, sandboxing and optional human approvals for sensitive actions, so you always know what agents can and cannot do.
How long does it take to launch an agentive AI pilot?
Timelines depend on the complexity of the workflow and system access. For a well-defined process with existing integrations, a pilot can often be scoped, built and tested over a period of weeks. Larger programmes are delivered in phases.
Which technologies and platforms do you use?
We are platform-agnostic. ERS works with leading LLM providers, agent frameworks, orchestration tools and your existing technology stack. The focus is always on solutions that are supportable, secure and aligned with your long-term roadmap.