How long does it take to deploy enterprise AI in production with Parallel Loop?

5 days to your first running AI workflow. We connect to your existing systems with no migration required, and deploy a working AI agent on your infrastructure within the first sprint.

How do you deploy AI agents on-premises in regulated industries?

Parallel Loop supports on-prem deployment with zero data migration. Cloud deployments are geo-locked per specification. Tenant isolation is hard by design — separate repos, MCP connections, and containers per organisation. Zero data retention at API key level, and no provider trains on your data.

What is an AI operating system and how is it different from an AI copilot?

A copilot assists one user inside one application. An AI operating system unifies decisions, workflows, and institutional knowledge across the whole organisation — and exposes that to agentic and human workflows alike. Parallel Loop is the foundation that makes AI work for the entire enterprise, not just isolated pilots.

How do you govern AI agents across regulated workflows?

Every prompt, response, and context change is git-tracked and immutable. Human review gates can be configured per workflow. The Control Plane manages projects, apps, and access. The multi-model LLM gateway eliminates single-vendor lock-in (Vertex AI, Bedrock, Azure OpenAI — flip-switchable).

What is the Model Context Protocol (MCP) and why do enterprises need it?

MCP is an open protocol for connecting AI agents to enterprise systems of record (CRM, ERP, ticketing, legacy databases) without bespoke integrations. Parallel Loop's Data Plane is built on MCP, so adding a new source of context is configuration rather than custom engineering.

How do forward-deployed engineers accelerate enterprise AI rollout?

Forward-deployed engineers embed inside your team during the build phase. They own the technical work end-to-end — scoping, building, and proving the first solution on your infrastructure — so your team learns the platform by shipping with it, not by reading documentation.

What industries does Parallel Loop serve?

Insurance, financial services, healthcare, retail, fintech, D2C, logistics, energy, government, and manufacturing. The platform is industry-agnostic and adapts to any organisation's workflows.

Building your AI future, without
reinventing your past

Your AI operating partner

Your decisions, workflows, and institutional knowledge, unified in one place. Our team stays til the change is real, not just for introducing the new AI tools.

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Insurance

Financial Services

Healthcare

Retail

The Problem

Starting pilots and buying tools is easy. Getting your whole organisation to think and work differently — that is still unsolved.

Context is scattered

Decisions vanish in meetings. Knowledge lives in heads. Data sits in silos. No single place where the organisation's intelligence compounds.

Shifting mindsets is hard

Leadership mandates it. Teams try it, hit friction, and quietly go back to the methods they have used for years. The new tool is there. The behaviour stays the same.

Pilots don't scale

The pilot works. Then it meets edge cases, legacy systems, and compliance. The timeline slips. Nothing ships.

The Platform

The foundation for AI-native operations, layered on what you have.

How We Work Together

We start with your business. We stay for the transformation.

Step 1

Step 2

Step 3

~2 weeks

Discover & Align

Structured workshops across your leadership and frontline teams, mapping your workflows, your systems, and where friction actually lives. You leave with a clear, agreed starting point and a prioritised view of where AI will genuinely move the needle.

6–10 weeks

Build & Prove

We scope and build the first working solution on your infrastructure, not ours. Tight scope, real output. The kind of result your board can point to and your teams will actually use.

ongoing

Embed & Grow

Every solution we build lives in a system your team owns and controls. Each project compounds on the last. New use cases start faster, your people grow more confident, and your organisation builds capability rather than dependency.

Proof Point

Global 500 Insurer.

Local subsidiary. 28 legacy systems. Zero rip-and-replace. 1 system of intelligence.

4d → 2hrs

Dramatic reduction in bulk renewal processing time, leading to increased conversions.

1 week

System architecture blueprint across 28 systems, ready to be unified.

3 months

Cash installment platform live and serving thousands of intermediaries and customers.

Security and Compliance

Designed for regulated environments.

01 Data Residency Your data never leaves

On-prem deployment available. Cloud geo-locked per specification.

04 Tenant Isolation Hard isolation by design

Separate repos, MCP connections, and containers per organisation.

02 Zero Data Retention ZDR at API key level

No provider trains on customer data — contractual and technical.

05 Model Risk Zero single-vendor lock-in

Multi-model gateway. Vertex AI, Bedrock, Azure OpenAI. Flip-switchable.

03 Audit Trail Every action logged

Every prompt, response, and context change git-tracked. Immutable.

06 Explainability Complete forensic trace

What was injected, proposed, and decided — and why. Full transparency.

A Third Way

Not a consultancy. Not a SaaS vendor. Something new. An AI operating partner.

01

Strategy Retainer

AI roadmap. Trusted advisor to the C-suite. Change management that sticks.

02

Bespoke Implementation

Forward Deployed Engineers embedded in your team. Pilot to Agentic OS foundation — in weeks, not months.

03

System of Intelligence

The platform where your organisation's knowledge compounds. Every engagement makes it smarter.

Start with your business. Stay for the transformation.

We map your workflows and systems, build the first solution on your infrastructure, and stay until the change is real.