Performance funnel rebuild
A B2B services company needed acquisition it could trust. We fixed tracking first, then scaled Meta and Google against true cost per acquisition.
- Location
- Remote / EU
- Project
- Performance Marketing
- Industry
- B2B Services
Agentsthatdowork,notdemos.
We design agents around concrete tasks, tool access, and evaluation — so they ship into production with guardrails.
Syed Wajeeh ul Hassan
Harris Khan
Bassam HashmiWorking with businesses across the US, UK, Europe and Australia
Automate — AI & Engineering
Tools + memory.Evals before scale.
Define the job, constrain the tools, evaluate failure modes, then deploy with logging so you know when the agent is wrong.
- Task and success criteria defined up front
- Tooling and permission boundaries explicit
- Eval harness and production monitoring
How we work
Build once.Improve continuously.
- 01
Discovery
We learn what you sell, who buys it and what is working now. No proposal before this conversation.
- 02
Diagnosis
We audit traffic, tracking, funnel and systems, then name the real constraint on growth.
- 03
Plan
A scoped plan with clear deliverables, timelines and the numbers we will be judged on.
- 04
Build & Scale
We execute in the open, report on what matters, fund what is proven and cut what is not.
Case Studies
Work measured by outcomes,not activity reports.
Support automation system
An online retailer needed to scale customer support without adding headcount. We automated triage and drafted replies with brand context built in.
- Location
- Remote / US
- Project
- AI Automation
- Industry
- E-commerce
Development
Conversion site
Digital Marketing
Lifecycle campaigns
AI Automation
Ops automation
Client feedback
Technology is not the objective.Performance is.
“They redesigned our internal workflows with automation and delivered measurable efficiency, without overselling what AI could do.”
Michael Carter
Chief Technology Officer
“Support operations became dramatically more efficient after the conversational system went live. Clear scope, honest reporting.”
Sophia Bennett
Head of Operations
“They tied paid spend to pipeline we could actually trust. The monthly report finally answered whether the marketing made money.”
Daniel Hughes
Director of Growth
FAQ
Questions about AI Agent Development
A chatbot answers questions. An agent takes actions: it can search, read, write to your systems, send messages and make decisions within limits you set. Agents are given tools and goals, not just answers.
Lead research and qualification, first-line support with escalation, data reconciliation between systems, meeting scheduling, and drafting responses for human review. Jobs that are mostly repeatable with occasional judgement.
Limits on what actions it can take, spend caps, escalation rules, and an evaluation set it must pass before going live. Every action is logged and can be overridden by a person.
Models from OpenAI, Anthropic and Google depending on the task, orchestrated with LangGraph or custom code. We choose by accuracy and cost on your evaluation set, not by brand.
A single-job agent with a clear success measure usually takes four to eight weeks including testing. Multi-step agents that touch several systems take longer.
Ready to talk about AI Agent Development?
A 30-minute call. We will look at your current setup and tell you where the biggest gap is — whether or not you work with us.