Ads, forms, phone calls, chats and referrals land in a single CRM — attributed at the point of entry, deduplicated before they are written, and staged without anyone dragging a card. The pipeline moves itself.
Most CRMs are not broken. They are just half-fed — by people, at the end of a long day, from memory.
The symptom is always the same. A lead arrives on Facebook, another through a web form, another as a missed call, another by text to a rep's personal phone. Some get typed in. Some sit in an inbox. Nobody can say which campaign produced the deal that closed last month, because the source field is blank on half the records and wrong on the rest. Sales meetings turn into archaeology.
CRM integration and pipeline automation fixes the input, not the reporting. We connect every place a lead can arrive to a single writing layer that normalizes the record, checks it against what already exists, attaches the campaign and channel that produced it, places it at the correct stage, and creates the task that moves it forward. From that point on the CRM is downstream of the truth rather than a second copy of it that someone has to keep in sync by hand.
The work is unglamorous and it is the highest-leverage thing most operations teams can do. Agents, follow-up sequences and reporting all read from this layer. Get it wrong and everything built on top inherits the mess.
Paid social lead forms, website forms, inbound calls, web chat, WhatsApp, marketplace inquiries and partner referrals all route through one ingestion layer. Each channel has its own quirks — Meta posts a payload, a phone system fires a call event, a form vendor sends a flat blob — and each gets normalized to the same contact shape before it touches your CRM.
Attribution breaks at handoffs. A visitor clicks an ad, browses, calls three days later from a different device, and the campaign that paid for them disappears. We capture campaign, medium, keyword-level detail and landing page on first touch, persist it, and reattach it to the record whichever way that person eventually converts — including inbound calls through tracked numbers.
Duplicates are created faster than any team can clean them. We match on phone, email and normalized company name at write time, merge into the surviving record, and preserve the activity history from both. Existing databases get a one-time profiling and cleanup pass first — dead numbers, blank sources, records stalled in stages nobody owns.
Stages should be a consequence of what happened, not a manual bookkeeping chore. A quote sent moves the deal. A booked appointment moves it again. Silence for five business days triggers a re-engagement sequence and flags the owner. Every transition can create the task, the reminder or the internal notification that belongs with it, assigned by territory, skill or round-robin.
Your CRM is rarely the only system of record. Field service tools, ticketing platforms like ServiceNow, billing and accounting each hold part of the customer. We define sync direction field by field so the two systems never fight, then build the reporting layer on top: response times, contact rates, stage velocity and conversion by source, in one dashboard your team will actually open.
An agent is only as good as the systems it plugs into. When your stack can't support the automation, we build the stack.
An AI lead response agent needs somewhere authoritative to write. A multi-channel follow-up sequence needs to know which stage a contact is in before it decides what to send. A voice agent taking a call after hours needs the same contact record the day team will open tomorrow morning. When the pipeline underneath is clean, all of that becomes straightforward configuration. When it is not, every automation becomes a special case.
If your CRM cannot represent how your business actually works — a rental with three service dates, a listing with two agents and a referral split — we build the custom object model or the internal tool that can. We integrate what already exists, and build what doesn't.
The interesting work happens in the second box, before anything is written.
We follow each source from the moment a person raises their hand to the moment revenue is recognized, and mark where records are retyped, dropped or duplicated. You get the diagram whether or not you build with us.
30-min call · roadmap deliveredHistorical cleanup runs first, then the ingestion layer, then stage and task automation, then sync and reporting. Each piece is tested against replayed real payloads before it touches live data.
Typically 2–4 weeksSources change, platforms deprecate endpoints, teams reorganize. We watch the error queues, keep the integrations current, and extend the model as new channels and service lines appear.
Ongoing partnershipAlmost never. We build on the CRM you already pay for, whether that is HubSpot, Salesforce, ServiceNow or something smaller. Replacement only comes up when the platform genuinely cannot hold the data model your business runs on, and in that case we say so during the audit and give you the migration cost before you decide anything.
Deduplication happens at the point of entry, not as a monthly cleanup. Every inbound record is matched against existing contacts on phone, email and normalized company name before it is written. Near matches merge into the older record, and anything genuinely ambiguous is queued for a human decision instead of being guessed at.
It means a change in either system updates the other without anyone retyping it. When a rep marks a deal closed in the CRM, the billing record, the project tracker and the reporting layer reflect it within seconds. Sync direction is defined field by field, so you never end up with two systems fighting over the same value.
Yes, and it is usually the first task. We profile the existing database for duplicates, dead phone numbers, missing source attribution and records stalled in a stage nobody owns, then run a one-time cleanup before the new pipeline turns on. Automating on top of bad data only moves the mess around faster.
Most builds go live two to four weeks after the audit. A single-source cleanup with basic stage automation can run inside two weeks. Multi-brand setups with several lead sources, custom objects and a reporting layer sit at the longer end. You get a dated plan and a fixed scope before any work begins.
You do. Every workflow runs inside accounts in your name, the n8n instance and webhook endpoints belong to you, and the logic is documented so another engineer could pick it up tomorrow. We stay on to monitor and extend the system because you want us there, not because you are locked in.
Bring us one week of leads and we will show you where they came from, which ones were answered, and how many were quietly lost between systems. Thirty minutes, no cost, no obligation.
Roadmap delivered · whether or not you build with us