AI integration for the firms whose work depends on it.
A refinement, not a replacement.
Most firms we speak to have already tried something. A pilot here, a subscription there, a model that wrote a draft they had to rewrite. The result is rarely a finished product. It is, more often, a quiet sense that something useful is on the other side of a wall, and that nobody in the firm has the time to find the door.
Our position is that artificial intelligence is an infrastructure problem, not a software problem. The data the firm has accumulated for two decades is the asset. The systems that read it, remember it, summarise it, and act on it are the practice. Both have to be built, in that order, by people who have already operated the firm's environment for a long time.
That is the work we propose. Designed by hand, in the same register as the rest of the practice, by an AI line within Macworks 360 led together with Ernesto Cullari, an operator and strategist whose work in vertical SaaS, agentic systems, and AI infrastructure is the core of the new chapter.
What follows is the menu, in twelve quiet headings. No engagement begins with the menu. Engagements begin with the audit.
Foundations. The first work, before any agents are built.
AI Workflow Audits
The wedge. Two weeks, one report, the map of where intelligence belongs in the firm. Workflow diagrams, an automation scorecard, ROI projections, an implementation roadmap. Most engagements begin here. Read the audit
AI Operating Systems for boutique firms
The connective layer that joins the systems your firm already runs, mail, documents, scheduling, telephony, billing, into one centralised intelligence with permissions, memory, and the agents to act inside it. The result is not a new tool. It is the firm, made legible to itself.
AI Enablement Retainers
The standing arrangement that follows. A monthly engagement to refine, retrain, audit, and quietly expand the AI estate as the firm's habits evolve. Most clients arrive at this within twelve months of the first audit. It is the long shape of the relationship.
Memory & Data. The firm's accumulated knowledge, made answerable.
AI Data Layer
A semantic foundation underneath the firm's existing records. Vector stores, entity extraction, intelligence graphs, and a unified business memory that turns archives into something an agent can reason about.
AI Memory Architecture
Persistent memory for clients, matters, projects, and the practitioners themselves. Retrieval pipelines designed so that an agent answering on Tuesday remembers what was said on Friday, and so that nothing is forgotten when a senior partner is out of the room.
AI Knowledge Bases
Vertical and role-specific retrieval, with permissions awareness built in. The associate sees what an associate is meant to see. The principal sees the rest. The system speaks in the firm's own language because the language is what trained it.
Agents & Voice. The work that quietly takes too many hours.
Autonomous Internal Agents
Agents that handle scheduling, procurement, status reporting, intake triage, and the routine internal correspondence that consumes a senior practitioner's morning. Designed with explicit permissions and an audit trail, so that judgment remains with the firm.
Voice & Telephony Agents
Inbound receptionists who can read the calendar, take a brief, and route a call with the discretion of a long-tenured assistant. Outbound qualification for the matters that warrant it. The integration into the firm's existing telephony is the substance of the work.
AI Sales Intelligence
Lead scoring, intent prediction, conversation analysis, and call summarisation, designed for firms whose pipeline is small, considered, and high-value. The point is not volume. The point is to never miss the one client who matters.
Infrastructure. The unglamorous foundations the rest of it sits on.
AI Command Centers
Conversational dashboards and executive copilots. The principal asks a question in plain language and the system answers from the firm's own numbers. Anomalies are flagged before they become surprises. The board pack writes itself.
Agentic API Layer
For legacy systems that cannot be replaced and ought not to be. We wrap them in an MCP layer, expose their actions to agents, and bring decades-old line-of-business software into the new working register without disturbing it.
AI Monitoring & Governance
The supervisory layer. Hallucination monitoring, prompt logging, role-based permissions, audit trails, and the documentation a regulator or a client would expect to see. Operational AI that can be defended, not only deployed.