AI agents that work for you.
Not a demo. We build AI agents, voice agents and integrations into the systems you already run, so calls get answered, leads get followed up and the repetitive work stops eating your team's week.
Pilot live in weeks. You own the accounts, the code and the data.
Tasks automated
98.4%
of the repetitive workload
Your AI agent
never sleeps.
What we build
Eight AI solutions, scoped to a business outcome.
Each one starts with a job that is currently done by hand, then replaces or accelerates it.
AI Agents
Agents that do the work, not just answer questions: qualify leads, chase quotes, update your CRM and hand off to a human when it matters.
- Task-specific agents with defined guardrails
- Tool access to your CRM, calendar, email and database
- Human approval steps for anything sensitive
- Full logging of every action the agent takes
Voice Agents
A natural-sounding voice agent that answers calls day and night, books appointments and routes urgent callers to your team.
- Inbound call answering and appointment booking
- Outbound follow-up and reminder calls
- Call transcripts, summaries and CRM logging
- Warm transfer to a real person on request
AI Chatbots & Assistants
Website and WhatsApp assistants trained on your own content, so answers stay accurate and on brand.
- Trained on your documents, pricing and policies
- Website, WhatsApp and in-app deployment
- Lead capture with instant handoff to sales
- Escalation rules when the bot is unsure
AI Integration into Your Systems
AI features built directly into the software you already use, instead of another tab your team forgets to open.
- AI inside your CRM, portal or internal tools
- Model selection and cost control per use case
- Secure API layer with rate limits and auditing
- Evaluation before anything reaches customers
AI Workflow Automation
The repetitive back-office work handled automatically: intake, triage, drafting, tagging, routing and reporting.
- Document and email intake with classification
- Draft replies, quotes and summaries for review
- Automated routing and task creation
- Exception handling with alerts to a human
Knowledge Search (RAG)
Ask your own data a question and get a sourced answer, instead of digging through folders and old threads.
- Ingestion of documents, tickets and wikis
- Semantic search with cited sources
- Permission-aware access per team
- Continuous re-indexing as content changes
Data & Reporting with AI
Plain-language reporting on top of your operational data, so decisions do not wait for a spreadsheet.
- Unified data model across your tools
- Natural-language querying of your metrics
- Scheduled summaries by email or chat
- Anomaly alerts on the numbers that matter
AI Visibility (GEO)
Get named when buyers ask ChatGPT, Gemini or Perplexity for a recommendation in your field.
- Audit of how AI engines currently describe you
- Content and schema restructured for citation
- Entity and authority signals strengthened
- Ongoing tracking of AI mentions
Live example
Try a concierge we built and run.
This is a working AI concierge for offices and appointments, live in production. It answers questions, checks availability and books appointments on its own. Yours can work the same way, on your rules, your services and your calendar.
Agentic AI services
Agentic AI: software that plans, acts and reports back.
Agentic AI is the step beyond chatbots: agents that take a goal, decide the steps, use your tools and know when to stop and ask. Here is what that looks like in practice.
Multi-step agentic workflows
Agents that plan and execute whole processes, not single replies: intake a lead, research it, draft the quote, book the call and update the CRM in one run.
Outcome: End-to-end processes that used to take a person 40 minutes now finish in under two, with a log of every step.
Agent orchestration
Several specialised agents working together: one qualifies, one drafts, one checks the numbers, one escalates. Each with its own tools, permissions and limits.
Outcome: Complex work split across agents the way you would split it across a team, without the coordination overhead.
Goal-driven agents with guardrails
You set the goal and the boundaries. The agent decides the steps, calls your APIs, and stops for approval whenever an action spends money or touches a customer.
Outcome: Autonomy where it is safe, human control where it matters. Nothing leaves the building without your rules.
How an agentic AI project runs
- 01
Pick one outcome
We choose a single measurable result, such as response time or cost per qualified lead, and baseline how it is done today.
- 02
Define tools and limits
Exactly which systems the agent can touch, what it may do alone and what needs approval. In writing, before any build.
- 03
Ship a supervised pilot
The agent runs on real work with a human reviewing its output, so accuracy is proven on your data, not a demo set.
- 04
Earn autonomy
Approval steps are removed only where the numbers hold. Escalation rate, cost per task and accuracy stay on your dashboard.
Fixed scope and price in writing before any build starts.
How we keep it safe
AI you can put in front of customers.
Human in the loop
Anything that spends money, sends a contract or touches a customer record can require approval first.
Measured, not vibes
Every deployment ships with accuracy, cost per task and escalation rate on a dashboard you can see.
Your data stays yours
Your accounts, your keys, your database. We do not train public models on your business data.
How we deliver
From use case to production in four steps.
Use-case workshop
We map where AI actually pays back: volume, cost per task and the risk of getting it wrong.
Pilot in two weeks
One narrow use case shipped fast, measured against how the work is done today.
Integrate
Wire the agent into your CRM, phone system, inbox and database, with permissions and logging.
Monitor and expand
Track accuracy, cost and escalations, tune the prompts and tools, then add the next use case.
AI questions, answered plainly.
Free AI agent advisor
Tell us the task you're tired of doing.
Describe one repetitive job in your business. In a few seconds you get the AI agent that fits it, what you can expect, and the next step.
Start an AI project
Tell us the task. We will tell you if AI should do it.
Pick the project type, describe the work in a sentence or two, and our AI engineering team replies within 48 hours with an honest read and a pilot scope.
- Pilot scoped in writing before any work starts
- Human approval on anything sensitive
- You own the accounts, the code and the data