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LLMOPS & AI GOVERNANCE

LLMOps, AI Security & Governance

Shipping AI is the start. Keeping it accurate, safe, compliant and affordable is the job - and it is what separates pilots from platforms.

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LLMOps & AI Governance

Trustworthy AI in production

We put the operational backbone around your AI estate: CI/CD for prompts and models, automated evaluation, tracing and cost analytics, security testing and a governance framework that satisfies auditors and regulators.

What We Deliver

Capabilities included in LLMOps & AI Governance

LLMOps / MLOps pipelines

Versioned prompts, models and datasets with automated test and release flows.

Evaluation & regression

LLM-as-judge, golden sets and human review gates on every change.

Observability

Traces, latency, quality and token-cost dashboards across every AI feature.

AI security

Prompt-injection, data-leak and jailbreak defences with red-team exercises.

Privacy & compliance

PII redaction, data residency and policy mapping to PDPL, GDPR and sector rules.

FinOps for AI

Token budgets, caching and model routing to keep spend predictable.

Technology & Platforms

Tools and models we work with

LangSmithLangfuseArizeMLflowWeights & BiasesOpenTelemetryGuardrails AINeMo GuardrailsPresidioPrometheusGrafanaGitHub ActionsTerraform

How We Deliver

A proven path from idea to production

Assess risk

Inventory AI assets, data flows and risk levels.

Define controls

Policies, guardrails and approval workflows.

Instrument

Tracing, evaluation and cost telemetry.

Test

Red-team and regression suites.

Operate

Managed monitoring, incident response and reporting.

Use Cases

Where it creates business value

Regulated industries

Audit-ready AI for finance, health and public sector.

Multi-region rollouts

Data residency and regional policy handling.

Pre-launch red teaming

Find jailbreaks and leaks before users do.

AI cost reduction

Typical savings from routing, caching and prompt trimming.

Policy & documentation

Model cards, risk registers and audit packs.

24/7 AI monitoring

Alerting on drift, abuse and outages.

Commercials & Engagement Models

Flexible ways to start and scale

Pick the model that fits your stage and risk appetite. Every quote is tailored to your scope - and every cost driver is explained upfront.

FIXED SCOPE

AI Discovery Workshop

1-2 weeks. Use-case discovery, data and architecture review, ROI model and a costed roadmap.

FIXED PRICE

Proof of Concept / Pilot

3-6 weeks. A working solution on your real data with success metrics and a clear go / no-go.

MILESTONE

Fixed-Scope Project

Scoped build with milestone payments, defined deliverables and acceptance criteria.

MONTHLY

Dedicated AI Pod

A cross-functional team - AI engineer, data engineer, solution architect, QA - on a monthly retainer.

SLA

Managed AI Operations

LLMOps monitoring, evaluation, tuning, cost control and incident response under a monthly SLA.

PASS-THROUGH

Usage-Based Costs

LLM tokens, vector databases and GPU compute billed at cost, or run in your own cloud account.

PERFORMANCE

Outcome-Linked Options

For well-measured processes, part of the fee tied to agreed KPIs such as hours saved or cases resolved.

LICENCE

Product & Platform Licences

Subscription for our reusable orchestrator, RAG and MCP accelerators to cut build time.

What drives the price

Scope & number of use cases

Data readiness & quality

Number of integrations (ERP, CRM, APIs)

Model choice & token volume

Cloud, private cloud or on-prem GPUs

Security, privacy & compliance needs

Languages & channels (WhatsApp, voice, web)

Accuracy targets & human review level

Support SLA & hours of coverage

Training & change management

Request a Tailored AI Quote All Engagement Models

FAQ

Frequently asked questions

What is LLMOps?

LLMOps is the discipline of deploying, evaluating, monitoring and improving LLM applications in production, including prompts, retrieval and agents.

How do you handle prompt injection?

Layered defences: input and output filtering, tool permission scoping, isolation of untrusted content, approval gates and regular red-team testing.

Can you align AI with GDPR or UAE PDPL?

Yes: data mapping, minimisation, redaction, residency choices and documented controls.

Do you offer managed AI operations?

Yes, under monthly SLAs covering monitoring, tuning, cost control and reporting.