Voice Booking Agent, Dental Appointments by Phone
A voice agent that answers the practice phone, understands natural speech, checks live availability and books the appointment before hanging up.
AI Agents Portfolio
AI agents doing real work for real businesses: answering calls, booking appointments, triaging inboxes, running store operations and querying data. Hover any card to watch the agent workflow rebuild itself.
- Tool Use On Real Systems
- Approval Gates
- Full Run Traces
- Reversible Actions
- Evaluation Suites
Selected work
AI Agents We Have Deployed
Agents that hold context, use real tools and take action, rather than prompts wrapped in a chat window.
Gmail Email Manager, Triage, Draft & Label
An inbox agent that reads, categorises and labels incoming mail, drafts contextual replies and surfaces only what genuinely needs a human decision.
Personal Life Manager, Voice-Enabled Telegram Agent
A personal agent reachable by voice or text on Telegram, managing calendar, tasks, notes and email across connected Google services.
Store Operations Agent, WooCommerce via Telegram
An operations agent running store admin from a chat thread: order lookups, stock changes and customer queries without opening the dashboard.
Database Query Agent, Ask Your Data in Plain English
An agent that translates plain-English questions into safe, schema-aware queries and returns explained results to non-technical staff.
AI Confidence Coach, Guided Coaching Programme
A structured coaching agent running a multi-session programme, tracking each participant’s progress and following up by email between sessions.
A selection of ai agents work. Detailed case studies, metrics and references are shared on request.
Methodology
Our Approach
The methodology behind every engagement, from first workshop to the retainer that follows launch.
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01
Task Definition
We define the exact task, what success looks like, what the agent must never do and which decisions require a person.
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02
Tool & Guardrail Design
We define the tools the agent can access, set limits on actions and add approval gates for anything important.
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03
Build & Instrument
Built with structured tracing from the first commit, so every plan and tool call is inspectable while it is still being developed.
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04
Evaluation
We test the agent against real historical cases, including difficult scenarios where mistakes could be costly.
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05
Supervised Run
It proposes, a person approves, and we measure the agreement rate until the boundary is proven against your own data.
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06
Autonomy & Monitor
Gates relax only where evidence supports it, with alerting, spend limits and a kill switch left permanently in place.
Common challenges
Ready To Hand Something Over?
The problems clients usually arrive with, and how each one gets handled.
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How do we stop it doing damage?
Narrow toolsets rather than open access, approval gates on destructive operations, value and volume caps per run and per day, and actions built to be reversible.
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How do we know it works?
It is scored against historical cases where the right outcome is already known, then runs supervised until the agreement rate justifies relaxing a gate.
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Is an agent even the right tool?
Often not. Deterministic processes are cheaper and easier to reason about as plain automation, and we will say so rather than putting a model where an if-statement belongs.
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What will it cost to run?
Smaller models where they suffice, caching on repeated context and hard spend caps per agent, with cost per completed task reported alongside accuracy.
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Can we explain a decision later?
Every run stores its plan, tool calls, inputs and outputs, so any outcome can be replayed and explained to a customer, an auditor or a post-mortem.
Which Task Would You Hand Over First?
Name the process that eats your team’s week. We will scope it, define the boundary and show you what an agent can safely own.