AI & automation
Business automation, CRM integrations and AI implementation for defined operational tasks. Connect systems without hiding the rules or the exceptions.
EXPLORE
AI assistants and agents for defined business tasks. Test the answers and actions that matter before allowing a system to operate with real customer data.
Explore AI agents & assistants02CRM and API integrations that move the right information between teams and tools. Build around clear ownership, permissions and a recoverable path when something fails.
Explore CRM & API integrations03Automation maintenance for workflows, integrations and connected services. Find failures early and manage changes without losing track of what already ran.
Explore Automation maintenanceAn automation can move information quickly while still moving the wrong information. We first map who starts a process, which system holds the reliable record, what a person must approve and how an exception returns to the team. That creates a useful boundary for API integrations, rule-based workflows and AI-assisted tasks. It also reveals where a simple process change may be better than another tool.
Reliable flows, repeatable rules and probabilistic AI outputs need different controls and review points.
CRM and API integrations transfer agreed facts between tools, with identifiers, ownership and failure handling defined. A successful request is not enough; duplicates, delayed messages and mismatched records need an operational answer.
Explore Connect the systemsWhen a rule is stable, a workflow can handle routine steps while leaving visible exceptions for a person. We define triggers, authorization, retries and monitoring, then test what happens when a provider is unavailable.
Explore Run repeatable workAn AI assistant can help with a bounded task when data access, output checks and escalation are explicit. We test it against representative cases and failure modes before placing it in an operational flow. A human remains responsible for consequential decisions.
Explore Evaluate an assistantWe agree what information may be processed, where it can be sent, how long it is kept and who can correct a bad result. Provider usage charges and API limits are separate from implementation work. Some processes involve regulated or confidential records and need additional review before any production data is connected. We avoid an invisible chain of tools that leaves the business unable to explain an outcome.
A concrete example is enough: where the request starts, the systems touched, the people involved and the point where work stalls. Include cases that need a correction or an exception. We can then identify a narrow first flow, its acceptance checks and the manual fallback it needs. No credentials or customer records are required in an initial enquiry.
Some of the teams we have worked with.
Across talent, fitness, mobility, payments and local commerce.Usually the rules need to be stabilized first. We can map the decisions, identify a bounded repeatable part and keep uncertain cases with a person. Encoding a moving policy in software may make change slower and errors harder to see.
That depends on the task and the impact of a wrong result. We begin with bounded inputs, evaluation cases, logging and a clear escalation path. A high-impact decision needs stronger controls and may remain human-approved even if AI helps prepare information.
EXPLORE
Share what exists today and what you want to change. We can discuss the scope, dependencies and a practical way forward.
