Attercop

Your Systems Hold Everything. Nothing Connects Them.

The Attercop Platform connects your operational systems into a single queryable platform, then deploys governed AI agents that earn autonomy through proven performance. Delivered as a managed service.

Your CRM knows your pipeline. Your finance system knows your margins. Your resource tool knows who is available. Your documents hold the knowledge from every engagement you have ever delivered. But none of these systems talk to each other.

Partners prepare for client meetings by checking six systems. Project managers reconcile timesheets against project plans by hand. Business developers hunt through folders for proposal precedents. And when a senior consultant or partner moves on, the context they carried walks out with them.

AI tools can answer questions about one system. They cannot reason across the business. The problem is not that the information does not exist. It is that nothing connects it.

Three Layers of Value

The Platform delivers value in three layers. Each one is independently useful. Together, they compound.

Layer 1

Integrated management information

Your CRM, resource planning, finance, HR, and document systems connected through automated pipelines into a single canonical data layer. Records resolved across systems so “the same client” means the same thing everywhere. Unified dashboards that update from live data. Cross-system reporting without manual reconciliation.

For most mid-market firms, this alone is a step change: a single trustworthy view of operations that previously required manual synthesis across half a dozen systems.

See use cases →
Data flow and entity resolution: source systems flowing into a canonical layer with identity resolution
Many streams, one river. Source systems unified through automated pipelines and identity resolution.
Query resolution: a natural language question resolved against multiple data sources
One question, every system. Cross-system answers without checking four tools.
Layer 2

Chat over your data

A natural language interface over the unified data. Ask questions in plain English and get answers drawn from structured records, semantic search across documents, and the entity graph simultaneously. In-line charting for visual answers.

Your company data is also available where you already work. MCP integration with Claude Desktop, Claude Web, Microsoft CoPilot, and other compatible AI tools means you do not need to switch to a separate interface. Access to operational knowledge becomes a conversation, not a technical skill.

See use cases →
Layer 3

Governed agent framework

AI agents that observe, suggest, and act on your operational data, within explicit governance bounds. Meeting briefings assembled before your first call. Gaps in timesheets identified with draft entries prepared. Stale pipeline deals flagged with suggested follow-up actions. KPI dashboards that update from live data.

Every agent operates within explicit bounds. Every suggestion requires human approval until trust is established. Every action is logged with a full audit trail. Agents earn autonomy incrementally: observe first, suggest second, act only after sustained accuracy within governance boundaries.

This is where the transformative operational value lives. But it only works because the layers below provide the data foundation.

See use cases →
Agent inter-operation and governance: specialist agents operating within governance boundaries
Progressive trust model: Observe, Suggest, Act, Orchestrate
Trust is earned, not configured. Agents progress through four autonomy levels.

Built on ours. Ready for yours.

Attercop is a specialist consultancy. We run on the same operational systems you do: CRM for pipeline, resource planning for delivery, finance for invoicing, documents for knowledge.

We built the Platform to solve our own data fragmentation problem. We use it every day. Before every client meeting, a briefing is assembled automatically from CRM history, engagement records, and relevant documents. When a new team member joins an engagement, they inherit the accumulated context of every interaction we have had with that client. We stopped manually reconciling data across systems months ago.

When we tell you the framework works, we are not citing a case study. We are describing our Monday morning.

Read the full case study →

You run your firm. We run the Platform.

The Platform is delivered and operated by the team that built it. We connect your systems, build the canonical data layer, deploy and govern agents, and operate the infrastructure. Your team interacts through natural language and familiar tools. No data engineers or AI specialists required.

Real data in the system and your first cross-system answers within the first fortnight. Full capability in two to eight weeks, depending on complexity.

See how deployment works
Deployment model: rapid value spike in weeks 1-2, sustained build-out
Value from the first fortnight. Full capability in weeks, not months.

Who the Platform is for

For professional services firms

Unified operational visibility for firms where knowledge is the product. Connect your systems, query your data in natural language, and deploy agents that make your firm smarter with every engagement.

For professional services →

For private equity

Portfolio intelligence and value creation infrastructure. See across your portfolio in a single view, and deploy the Platform into portfolio companies as part of the value creation plan.

For private equity →

Works with your existing systems. Replaces nothing.

CRM

Salesforce, Pipedrive, HubSpot

Resource Planning

Forecast, Kantata

Finance

Xero, Sage, QuickBooks

HR

BreatheHR, HiBob

Documents

Google Drive, SharePoint, OneDrive

Calendar

Google Calendar, Outlook

Communication

Slack, Teams

The Platform connects to the systems you already use. We do not replace anything. If you have a system that is not listed here, talk to us. If it has an API, we can connect it.

Trust is built in, not bolted on.

Fine-grained role-based access control ensures every user and every agent sees only what their role permits. Full audit trails log every action with actor identity and context. Human-in-the-loop workflows require explicit approval for high-impact actions. Agent autonomy is extended incrementally, within policy bounds, with full visibility and the ability to revoke at any time.

See the architecture →

Every firm's data landscape is different. Let's talk about yours.

Not a sales pitch. Not a demo of sample data. A conversation about your systems, your operational questions, and whether the Platform is a good fit.

Book a Conversation