Workflow automation
Connect forms, inboxes, CRMs, WhatsApp, internal tools and APIs so routine movement of information stops depending on people.
SERVICE / AI & AUTOMATIONAI & automation
AI & automation
without the handoff tax.
We design AI-assisted features, internal agents and automations around a specific business task, with guardrails and human control where it matters.
WHAT WE CAN OWN
- 01AI opportunity mapping
- 02LLM / multimodal integrations
- 03Knowledge and retrieval flows
- 04WhatsApp automation
- 05Internal agents and tools
- 06Evaluation, guardrails and monitoring
WHAT WE BUILDUseful systems,
Useful systems,
not service labels.
AI-assisted product features
Generation, extraction, classification, summarisation or multimodal features embedded inside an existing product journey.
Internal agents and tools
Focused assistants that use approved context and tools to help teams research, draft, triage or complete repetitive operational tasks.
Knowledge and retrieval systems
Search and answer over controlled business content with permissions, citations and fallback behaviour designed into the experience.
PROBLEMS WE USUALLY ENTER THROUGHStart with the friction.
Start with the friction.
Then choose the technology.
People repeat the same low-value work
We map the repetitive steps and automate only where the inputs, output and exception path are clear enough to trust.
Leads lose momentum between messages
Structured qualification and messaging can collect the useful context before a human needs to step in.
AI output is inconsistent
Prompts alone are not a system. We constrain context, validate outputs and design a review path where incorrect results carry real cost.
The team cannot tell if AI is helping
We define success criteria and log enough of the workflow to evaluate quality, latency, cost and failure patterns.
HOW WE APPROACH ITLess ceremony.
Less ceremony.
More useful decisions.
Choose the job
Start with a measurable task and a clear definition of when the system should hand control back to a person.
Control the context
Decide what data the model can see, how it is retrieved and which business rules must remain deterministic.
Design guardrails and evaluation
Test representative cases, unacceptable outputs and fallback behaviour before volume turns edge cases into operations problems.
Integrate into the real workflow
The useful system is the one connected to the channels, tools and approval steps the team already uses.
We use hosted or local models depending on privacy, latency, cost and capability requirements. The surrounding system includes retrieval, validation, tool permissions, logging and human review. We treat it as seriously as the model call itself.
LLM APIsMultimodal modelsRAG / retrievalWhatsApp Cloud APITool callingWorkflow automationEvaluationObservability
RELATED WORKSee the thinking
View all work ↗See the thinking
in a real product.
QUESTIONS WORTH ASKINGBefore a proposal,
Before a proposal,
get the basics clear.
01Do you build generic chatbots?+
Only when conversation is genuinely the best interface. Most useful AI work is narrower: a specific workflow with known context, tools and a clear escalation path.
02Can AI use our private business data?+
Yes, with an architecture appropriate to the sensitivity of the data. Access controls, retrieval boundaries and provider choices should be decided before connecting production information.
03How do you reduce hallucinations?+
By limiting the task, grounding responses in controlled context, validating structured outputs, testing failure cases and keeping deterministic rules outside the model where possible.
04Can you automate WhatsApp workflows?+
Yes. Qualification, structured data capture, notifications and handoff can be built around WhatsApp Cloud API while respecting channel and template rules.
HAVE A REAL PROBLEM TO SOLVE?Bring the messy version.
Start a project ↗