Lead & inquiry routing
Website, WhatsApp, and form submissions into the right inbox, CRM, or Slack/email path with the fields your team actually needs.
Practical process automation — not a black-box that your team cannot operate or audit.
Website, WhatsApp, and form submissions into the right inbox, CRM, or Slack/email path with the fields your team actually needs.
Keep contacts, orders, tickets, or applications consistent across tools instead of re-keying the same record.
Status emails, SMS/WhatsApp alerts, and internal pings when something needs a human — with clear ownership.
Structured steps for quotes, content, grants, or operations — who does what, and what happens next.
Scheduled exports or dashboards from the systems you already run — no invented analytics, just visibility you can check.
Custom glue between your website, SaaS, or app and third-party tools when no-code platforms are not enough.
Small admin screens or queued jobs so staff can retry, pause, or review automated steps.
Classification, summaries, or assistive replies only when they sit on a real workflow. Related work lives on our AI Integration service.
Most teams do not need more software — they need the tools they have to talk to each other.
Our approach: We identify the source of truth and sync downstream systems with logs you can inspect when something fails.
Our approach: We route inquiries with owner, source, and next-step rules — including WhatsApp and Calendly if those are already part of your funnel.
Our approach: We add status, retries, and alerts so automation is visible — not a silent script.
Our approach: We keep no-code where it works and move brittle steps into APIs, queues, and your own admin when complexity grows.
Our approach: We automate the handoff, not the judgment. Humans stay in the loop for exceptions and approvals.
Our approach: Discovery produces a written flow: trigger, systems, success, and what we will not automate yet.
Our approach: We document integrations and can retain the workflow under a maintenance plan after launch.
Our approach: We start with one high-volume path, ship it, then iterate — same discovery-to-quote model as our other packages.
A short, no-commitment path from messy process to a scoped first workflow.
We walk through the current path — tools, volume, exceptions, and who is accountable. Free consultation; we typically respond within one business day.
You get a written flow: trigger, systems, data, and what success looks like. Out of scope stays written too.
Custom quote after discovery. Typical starting points are on the packages page — not a fake retail price.
Integrations, webhooks, jobs, and any small admin UI — tested against real sample records where you can provide them.
We turn the workflow on with monitoring and a rollback path if a connected tool misbehaves.
Your team knows how to read status, retry, and request changes. Optional retainer for ongoing adjustments.
Add the next bottleneck only after the first path is stable — same phased approach we use on SaaS and apps.
We walk through the current path — tools, volume, exceptions, and who is accountable. Free consultation; we typically respond within one business day.
You get a written flow: trigger, systems, data, and what success looks like. Out of scope stays written too.
Custom quote after discovery. Typical starting points are on the packages page — not a fake retail price.
Integrations, webhooks, jobs, and any small admin UI — tested against real sample records where you can provide them.
We turn the workflow on with monitoring and a rollback path if a connected tool misbehaves.
Your team knows how to read status, retry, and request changes. Optional retainer for ongoing adjustments.
Add the next bottleneck only after the first path is stable — same phased approach we use on SaaS and apps.
We choose tools that match your stack — custom APIs when you need control, integration platforms when they are enough.
Automation from a team that already builds the websites, SaaS, and apps those workflows sit on.
Same engineers who ship marketplaces, portals, and SaaS — not a separate ‘zap farm’ that does not understand your domain model.
Status, logs, and a human fallback. If a job fails, your team should see it.
We do not boil the ocean. First workflow, then the next — after you see it working.
LLM features only when they sit on a real process. AI chat and assistants stay on our AI Integration service.
No invented dollar prices. Typical scope is on the packages page; the number comes after we see your tools.
Optional Care / Growth / Dedicated support so webhooks and APIs do not become orphaned scripts.
Live case studies with operational workflows. Example architectures are labeled — they are not presented as named clients.
What teams ask before automating a process.
Automation connects systems and rules (if this, then that). AI Integration adds models for language, classification, or assistants. Many projects use both — we keep the scopes separate so you are not paying for an LLM where a webhook is enough.
Book a free call or WhatsApp us. We’ll map the process and quote a first slice — no commitment.