Put AI to work on your firm's own data, securely

We build AI agents, MCP servers and data platforms that connect AI to your practice management, document management and business systems, with the security, permissions and governance a professional services firm needs.

Essential Tech engineers working at their desks

ISO 27001:2022 certified

Microsoft 365, Azure and Fabric

Australian owned · Brisbane, Sydney and Melbourne

The challenge

AI is only as useful as the data it can safely reach

Generic AI tools don’t know your clients, matters or files. Connecting them properly is where the value is, and where the risk is if it’s done carelessly.

Systems that don't talk

Client, matter and financial information sits across practice management, document management, email and finance systems, so answers take hours to pull together.

Copy-and-paste risk

Staff paste client information into public AI tools to get help, with no control over where it goes.

Agents without guardrails

AI that can read or act on firm data needs the same access controls, logging and approvals as a person.

Data you can't rely on

Reporting is built by hand from exports, so leaders don’t trust the numbers or get them in time.

What we build

From connected data to working AI agents

One accountable partner for the integration, the AI and the security around it.

MCP servers

We build Model Context Protocol (MCP) servers that give AI assistants controlled, permission-aware access to your systems and data, so tools like Claude and Copilot can work with your information without copying it around.

Azure AI Foundry agents

Custom AI agents built in Azure AI Foundry for multi-step work across your systems, running in your own Azure environment with enterprise security and monitoring.

Copilot Studio agents

Agents inside Microsoft 365 and Teams that answer questions from your knowledge, guide staff through processes and trigger approved workflows.

Connecting your systems

Integration with your practice management, document management, CRM, finance and line-of-business systems, including LEAP, Actionstep, Smokeball, Clio and Unity where the vendor provides API access.

Microsoft Fabric

A governed data platform that brings your systems together, so reporting, dashboards and AI work from one trusted source.

Governance and security

Access controls, data classification, logging, acceptable-use rules and human approval steps designed in from the start, not added later.

Example use cases

What this looks like in a professional services firm

Every firm is different. These are the kinds of outcomes we design for, scoped to your systems and priorities.

Matter and client assistant

Ask questions across matter files, documents and emails and get answers with links back to the source, limited to what that person is allowed to see.

Intake and triage

Capture new enquiries, check them against your systems and route them to the right person with the details already gathered.

First drafts from your templates

Produce first-pass letters, file notes and summaries from your own precedents and matter data, ready for professional review.

Reporting without exports

Practice, financial and service reporting from Microsoft Fabric, refreshed automatically instead of rebuilt in spreadsheets.

Compliance evidence

Agents that gather evidence for audits, insurer questionnaires and client security reviews from the systems that hold it.

Operational workflows

Approvals, onboarding and recurring admin handled by agents and Power Automate, with people approving the steps that matter.

Security first

Built for firms that hold confidential information

Connecting AI to client data is a security decision as much as a technology one. We design it that way.

Your permissions, respected

Agents and MCP servers only see what the signed-in person can already access. Nothing is opened up just because AI is involved.

Built in your environment

Wherever possible we build in your own Microsoft 365 and Azure environment, using enterprise AI services where Microsoft commits that your data isn’t used to train its models.

Logged and reviewable

Every request and action an agent takes is logged, so you can see what happened and why.

People stay in control

Agents can draft, prepare and recommend. Steps that matter, like sending, filing or approving, can require a person to confirm.

Governed from day one

Acceptable-use rules, data classification and an owner for each agent, aligned to how we run our own ISO 27001:2022 certified security.

How we deliver

A structured path from idea to working agent

Start small with one high-value use case, prove it, then extend.

01

Discover

We map your systems, data and the outcomes that matter, and confirm what each system’s vendor allows us to connect.

02

Propose

A scoped design and written proposal: which agents, which data, which controls and what success looks like.

03

Build and secure

We build, connect and test in your environment, with permissions, logging and approvals in place before go-live.

04

Improve

We support, monitor and extend what’s working, and retire what isn’t, as part of your managed service or as a project.

Who it’s for

Built for professional services firms

Firms that want AI working on their own information, without putting client confidentiality at risk.

Law firms

Matter-aware assistants and drafting support connected to your practice and document management systems.
Learn more →

Accounting firms

Client, workpaper and practice data brought together for faster answers and better reporting.
Learn more →

Financial services

Financial planning, wealth and lending firms using AI on client data with the controls compliance expects.
Learn more →

Not sure where to start?

Our AI Readiness & Automation assessment scores your use cases, data and governance before you build, and Copilot AI covers rolling out Microsoft Copilot safely.

FAQs

Common questions

Anything else? Book an assessment and we’ll talk it through.

Model Context Protocol (MCP) is an open standard that lets AI assistants connect to systems and data through a defined set of tools. An MCP server sits between the AI and your system, controlling exactly what the AI can see and do, and logging what it does.

We design solutions around enterprise AI services, such as Azure AI Foundry and Microsoft 365 Copilot, where Microsoft commits that your data isn’t used to train its models. We confirm the services and data handling for your solution in the proposal.

Usually, yes. We connect to systems such as LEAP, Actionstep, Smokeball, Clio and Unity, and to document management, CRM and finance platforms, where the vendor provides API access. We confirm what’s possible for your systems during discovery.

It depends on the solution. Copilot Studio agents and Microsoft 365 Copilot need the right Microsoft licensing, while Azure AI Foundry agents and MCP servers run on Azure services. We recommend the most cost-effective option for each use case.

Yes. We monitor, maintain and improve agents and integrations as part of your managed service or under an agreed support arrangement, so they keep working as your systems change.

Talk to us

Ready to connect AI to your firm's data, safely?

Tell us which systems you use and what you’d like AI to help with. We’ll show you what’s possible and where to start.