Attercop

The Enterprise Control Plane for Autonomous AI

Go from single agent experiments to a governed, scalable fleet. Build production-grade agentic systems that deliver real value.

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Practitioners hold an AI PhD

Beyond Chatbots: True Autonomous AI

Agentic AI doesn't just respond—it acts, reasons, and achieves goals autonomously.

While the world is building chatbots and copilots that wait for human input, forward-thinking organisations are deploying autonomous agents that take initiative, make decisions, and execute complex workflows without constant supervision.

But there's a problem: enterprises rushing to leverage Agentic AI are creating an internal “wild west” of duplicated effort, ungovernable black boxes, and failed attempts to scale beyond pilot projects.

The Attercop Agentic Fabric is the strategic antidote to this chaos.

A foundational software framework that enables enterprises to build, deploy, and govern sophisticated multi-agent AI systems at scale.

The Problem: Agentic Chaos

Without a clear strategy, agentic AI initiatives create more problems than they solve

Duplicated Effort & Inconsistency

Development teams repeatedly build the same core functionalities for orchestration, tool access, and memory, leading to wasted resources and brittle, inconsistent architectures.

No Reusability

Valuable components—specialist agents and tools—are locked within single projects, preventing the organisation from building a library of reusable, strategic assets.

The Governance Blind Spot

Without a standardised way to track and log agent actions, it is impossible to ensure security, manage costs, or prove compliance. Autonomous systems become ungovernable black boxes.

Failure to Scale

One-off agentic projects cannot be integrated or scaled into a true enterprise capability, leaving their potential unrealised.

The Attercop Agentic Fabric

Six Core Components That Transform Agentic Chaos Into Enterprise Capability

Not a single application, but an architectural backbone providing essential components for production-grade agentic solutions

Orchestration Engine

The Central Brain

Deconstructs high-level business goals into executable plans, assigning tasks to specialist agents and managing end-to-end workflows.

  • Task decomposition and planning
  • Agent crew management
  • Workflow execution and monitoring
  • Error handling and recovery

Agent & Tool Registries

Reusable Asset Library

Central library of pre-approved, versioned, and reusable agents and tools that enforce security and prevent code duplication.

  • Version-controlled components
  • Security-approved tools
  • Rapid solution assembly
  • Eliminate code duplication

Standardised Abstractions

Common Development SDK

Unified SDK that defines how agents and tools are built, ensuring consistency, interoperability, and automatic governance integration.

  • Consistent development patterns
  • Interoperable components
  • Automatic governance hooks
  • Simplified onboarding

Memory & Knowledge Hub

Contextual Intelligence

Sophisticated memory system providing agents with short-term context and secure access to enterprise knowledge and data.

  • Short-term task context
  • Long-term knowledge access
  • Secure data handling
  • Auditable memory operations

Observability & Governance Layer

Built-in Transparency

Complete system of record capturing detailed, auditable trails of every action, decision, and data access for full governance.

  • Complete data lineage
  • Cost tracking per agent
  • Performance metrics
  • Compliance-ready audit trails

Security & Compliance

Enterprise-Grade Protection

Integrated security controls and compliance frameworks ensuring agents operate within approved boundaries.

  • Role-based access control
  • Action approval workflows
  • Compliance policy enforcement
  • Threat detection and prevention

Customer Value Proposition

Four transformative benefits of adopting the Agentic Fabric

1

Accelerate Innovation

10x Faster Time-to-Market

Drastically reduce development time for new agentic solutions. Core plumbing and reusable components let developers focus on business logic, not infrastructure.

KEY IMPACTS

  • Weeks, not months to production
  • Pre-built orchestration patterns
  • Proven component library
  • Rapid prototyping to deployment
2

Build Strategic Assets

Compounding Capability Growth

Every agent and tool built within the Fabric becomes a reusable asset, compounding your organisation's AI capabilities over time.

KEY IMPACTS

  • Reusable specialist agents
  • Growing tool ecosystem
  • Cross-project knowledge sharing
  • Cumulative competitive advantage
3

Enable Governance by Design

Proactive Risk Management

Move from reactive to proactive governance. Built-in observability provides complete transparency for risk management, security, and compliance.

KEY IMPACTS

  • Full action auditability
  • Real-time cost monitoring
  • Compliance-ready logging
  • Integration with APAG platform
4

Scale with Confidence

Enterprise-Wide Deployment

Robust, secure, and repeatable patterns enable moving agentic AI from departmental experiments to core enterprise capability.

KEY IMPACTS

  • Production-grade reliability
  • Cross-team standardisation
  • Proven scaling patterns
  • Enterprise support and SLAs

Traditional Approach vs. Agentic Fabric

Development Time

Traditional

3-6 months per solution

With Fabric

2-4 weeks with Fabric

10x faster

Reusability

Traditional

Siloed, one-off implementations

With Fabric

Central registry of reusable components

Compounding value

Governance

Traditional

Manual auditing, blind spots

With Fabric

Built-in observability and compliance

100% visibility

Scalability

Traditional

Difficult to expand beyond pilot

With Fabric

Designed for enterprise scale

Proven patterns

Security

Traditional

Bolted-on, inconsistent

With Fabric

Security by design

Risk mitigation

Real-World Agentic Applications

How enterprises are deploying the Agentic Fabric to solve complex challenges

1

Private Equity

Automated Due Diligence

CHALLENGE

Manual review of hundreds of documents across legal, financial, and technical domains taking weeks per deal

FABRIC SOLUTION

Multi-agent crew with specialist agents for legal review, financial analysis, technical assessment, and risk evaluation coordinated by orchestration engine

RESULTS

  • 60% reduction in due diligence time
  • 100% document coverage
  • Consistent evaluation criteria
  • Full audit trail for investment committees
2

Financial Services

Intelligent Trade Surveillance

CHALLENGE

Monitoring thousands of daily trades for compliance violations and market manipulation patterns

FABRIC SOLUTION

Agent fleet continuously analysing trade patterns, communications, and market data with real-time alerting and investigation workflows

RESULTS

  • 24/7 continuous monitoring
  • 90% reduction in false positives
  • Complete regulatory audit trails
  • Proactive risk identification
3

Life Sciences

Clinical Trial Document Processing

CHALLENGE

Extracting and validating data from thousands of clinical trial documents for regulatory submissions

FABRIC SOLUTION

Specialist agents for document classification, data extraction, validation, and regulatory compliance checking working in coordinated workflow

RESULTS

  • 70% faster document processing
  • 99.9% extraction accuracy
  • Automated compliance validation
  • GxP-compliant audit trails
4

Professional Services

Proposal Generation & Knowledge Mining

CHALLENGE

Creating client proposals requiring synthesis of past projects, pricing models, and technical approaches

FABRIC SOLUTION

Agent crew mining knowledge graphs, assembling relevant case studies, generating pricing, and drafting proposal sections

RESULTS

  • 75% reduction in proposal time
  • Consistent quality and pricing
  • Leveraged institutional knowledge
  • Higher win rates

Implementation Roadmap

From pilot to production in 7-10 weeks

1

Phase 1: Foundation

(2-3 Weeks)

Infrastructure Setup

DELIVERABLES

  • Fabric infrastructure deployment
  • Core registries configured
  • Development environment setup
  • Team training on SDK
2

Phase 2: Pilot Agent

(3-4 Weeks)

First Use Case

DELIVERABLES

  • Initial specialist agents built
  • Tools and workflows defined
  • Orchestration patterns tested
  • Governance integration validated
3

Phase 3: Production

(2-3 Weeks)

Deployment & Optimisation

DELIVERABLES

  • Production deployment
  • Performance optimisation
  • Observability dashboards
  • Documentation and handover
4

Phase 4: Scale

(Ongoing)

Expansion

DELIVERABLES

  • Additional use cases
  • Growing agent library
  • Cross-team adoption
  • Continuous improvement

Agentic AI FAQs

Ready to Deploy Agentic AI at Scale?

Move from experiments to enterprise capability. Build governed, scalable agent fleets that deliver real value.