Lead-to-delivery workflows
Connect enquiries, CRM stages and project handoffs so responsibilities and required information stay visible.
Bring CRM, ERP and operational platforms into a more connected workflow. Reduce duplicate work and make handoffs easier to trust.
Sales, operations and finance teams that need consistent information across the systems they already use.
We begin with the business handoff, then design the integration around it. The work includes permissions, data quality, retries and the less visible details that make a connection dependable.
A connected operational picture, with clear ownership of the data and the workflow.
The final scope, deliverables and timeline are agreed with you before work starts.
Examples of possible project scopes. The right solution depends on your users, systems and requirements.
Connect enquiries, CRM stages and project handoffs so responsibilities and required information stay visible.
Map records and permissions, connect supported APIs and design safe retry behaviour for interrupted synchronisation.
Create dependable data flows and clearly defined metrics so reporting reflects the same operational reality across teams.
We make important decisions visible before they become expensive assumptions.
Define the baseline. Decide what better looks like.
A little clarity before your next big decision.
Ask us something elseYes. Bring the business problem, the people affected and any existing systems. A discovery engagement can turn those inputs into a prioritised scope, a prototype and delivery options. You do not need a finished technical brief to start a conversation.
Yes. We start with the current code, integrations and operational constraints. A staged improvement may be more appropriate than a rebuild. The recommendation should explain the tradeoffs, migration risks and what can remain in place.
We estimate against scope, dependencies and acceptance criteria. The proposal makes assumptions, exclusions and responsibilities visible. Any change in scope should be discussed before it changes the delivery commitment. We do not publish a one-size-fits-all price or timeline.
We define what the system may access, how output is evaluated and when a person must review it. Data permissions, model-provider terms, operating costs and failure handling are part of discovery. AI output is not treated as automatically correct.
Repository access, intellectual property, third-party licences and handover deliverables are agreed in the contract. Our proposed delivery approach includes setup instructions, architecture decisions and operating documentation so ongoing ownership is clear.
Tell us what is happening today, what you want to change and the constraints that matter. We’ll help shape the next step.