We build AI‑native growth and operations infrastructure for SaaS, ecommerce, and internet‑first companies — revenue ops, workflow automation, agent deployment, and the internal systems they run on.
Each system ships with documented runbooks, monitoring, and an internal owner. We don't hand off zips of automations — we run the surface area until it's boring.
Pipeline architecture, forecasting hygiene, lifecycle attribution, and the underlying data model that makes any of it trustworthy.
Multi‑step automations that combine retrieval, reasoning, and deterministic actions. Built for stability, not demos.
Tooling your team uses every day — admin consoles, ops dashboards, and approval flows that replace shared spreadsheets.
A CRM that reflects how your business actually operates — accounts, contacts, products, signals, and the routing in between.
Inbound, outbound, lifecycle, and partner motions — instrumented end‑to‑end and tied back to revenue, not vanity metrics.
Tiered support with AI‑drafted responses, escalation paths, and KB feedback loops that actually close. Macros that age.
Billing models, dunning, revenue recognition, and the operational fabric around chargebacks, refunds, and reconciliations.
A canonical place for what your company knows — wired into your tools, kept current by the workflows that read from it.
Multi‑touch attribution that survives an audit — modeled in the warehouse, surfaced in the tools your team already uses.
Production agents with guardrails, observability, and clear scope. Built to operate in a specific corner of your business, well.
A small, senior team. AI‑native internally. We treat client engagements like production systems — instrumented, on‑call, versioned.
A representative workflow we install in revenue and support stacks. Determinism where it matters, retrieval where it helps, and a human in the loop on anything client‑facing.
Drawn from anonymised engagements. Methodology and source data available under NDA.
Replaced a fragmented mix of CRM extensions, scripts, and shared sheets with a single model spanning pipeline, lifecycle, and billing — running on the warehouse.
Identity stitching + a warehouse‑native model that reconciled paid, organic, and influencer channels. Surfaced in Mode and the existing BI, not a new tool.
Drafted responses + retrieval over a curated KB, with deterministic policy guards on refunds, access, and account changes. Operator review queue for anything tonal.
Behavioural lifecycle programme orchestrated across Customer.io, the product, and Slack — branching by intent, role, and observed activation milestones.
A 30‑minute working session with a partner. We'll map your current surface area and tell you what we'd rebuild first.
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