Practice

Applied AI & Agentic Systems

AI-native systems that move from pilot to production with the governance, evaluation and observability enterprises require.

Projects delivered
80+
Countries served
16
Global offices
4
Founded
2021

The challenge

The challenges we solve

  1. 01

    Pilots that stall before production

    A proof of concept performed well in a demonstration, but no one planned for live data, real users, failure handling or the economics of daily operation.

  2. 02

    Output that cannot be trusted

    Assistants return confident answers that are incorrect, with no audit trail showing where an answer originated or how to correct it.

  3. 03

    Knowledge work fragmented across systems

    Teams re-key information between email, spreadsheets and business applications, and the work is too variable for rules-based automation.

  4. 04

    AI investment without measurable return

    Without a baseline, evaluation set or monitoring, leadership cannot tell whether a model is improving outcomes or quietly degrading.

Our solution

How our Applied AI & Agentic Systems practice helps

Enterprise AI development is the engineering of AI systems (agentic platforms, generative AI and machine learning) that carry out measurable work inside an organisation's processes, under governance and human oversight. VulcanTech designs, builds and operates AI systems that perform measurable work inside the enterprise: agentic platforms that execute multi-step processes, generative AI grounded in proprietary knowledge, and machine intelligence for forecasting, detection and classification. Our delivery record includes 72-hour air-quality forecasting for the Government of the Punjab, and AI disease detection and smart camera systems delivered under NDA. Every engagement is anchored in governance, evaluation and human oversight, so leadership can trust the output and quantify its value.

  • Agentic execution

    Agents that operate within your systems of record to complete multi-step processes, with defined authority and human approval wherever accountability requires it.

  • Grounded generative AI

    Language models anchored to approved enterprise knowledge, with source attribution so every answer can be verified before it informs a decision.

  • Predictive machine intelligence

    Forecasting, classification and computer vision models validated against an agreed baseline before they reach operational use.

  • Production-grade from day one

    Evaluation, observability, cost governance and drift monitoring are designed into the architecture, not retrofitted after go-live.

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End-to-end solutions

Applied AI & Agentic Systems services

Our process

How we deliver

A delivery process you can see into — from first workshop to production support.

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  1. 01

    Discovery

    A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.

  2. 02

    Architecture & planning

    We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.

  3. 03

    Iterative delivery

    Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.

  4. 04

    Assurance & hardening

    Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.

  5. 05

    Launch & continuity

    We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.

Business benefits

What you gain

  • Traceable, auditable output

    Every answer and action is linked to source material, tool calls and logs, giving reviewers a clear account of how the system reached its result.

  • Governed human oversight

    Approval gates, confidence thresholds and escalation paths keep accountable people in control of decisions with financial, legal or safety consequences.

  • Value measured against a baseline

    Success metrics and evaluation sets are agreed early, and results are reported against the current process rather than a demonstration score.

  • Model-agnostic architecture

    Move between hosted and open-weight models as cost, quality and data-residency requirements evolve, without re-engineering the application.

  • Predictable cost to serve

    Caching, model routing and token budgets keep inference spend within plan, with usage dashboards that show exactly where cost is incurred.

  • Security and privacy by design

    Access controls, data redaction, audit logging and private deployment options protect sensitive information across the AI pipeline.

Engagement models

Work with us the way that suits you

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  • Outcome-based delivery

    A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.

    Best for: Well-defined initiatives, MVPs and first releases

  • Dedicated product teams

    A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.

    Best for: Long-term product development and evolving roadmaps

  • Team extension

    Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.

    Best for: Adding specialist capability without growing headcount

Tools & technologies

The stack we build with

  • Python
  • TypeScript
  • LangGraph
  • OpenAI Agents SDK
  • Claude API
  • Model Context Protocol
  • Temporal
  • PostgreSQL
  • Langfuse

Resources

Latest insights

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FAQ

Frequently asked questions

Can't find what you need? Ask us in the discovery session.

Begin with one well-defined process that is repetitive, measurable and consuming material staff time. In a free 30-minute discovery session we assess candidate use cases, the data you already hold and the associated risks, then recommend a focused first release with clear success metrics. A pilot that reaches production typically yields more insight than a broad strategy document.

Free discovery session

Start your Applied AI & Agentic Systems project

Tell us what you're building. You'll hear back from an engineer, not an inbox.

  1. 1We reply within one business day to set up a 30-minute call.
  2. 2A senior engineer — not a salesperson — walks through your problem.
  3. 3You get a scoped proposal with timeline and cost. No obligation.

New projects & sales

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Existing clients & support

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Tell us about your project

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