BUILD 02 · NUMBERS YOU CAN TRUST
Every report leaves your hands with a caveat attached, and the migration everyone knows is coming keeps getting deferred — because everyone remembers what happened the last time someone touched the CRM. None of that is on you. The category earned this fear: implementations that overrun, go live half-finished, and leave the team quietly working around the system instead of in it.
The CRM + Data Foundation is a fixed-price CRM implementation practice, from $4,999, with three ways in: stand up a new CRM or migrate off an old one with historical data intact; integrate the CRM with the rest of your stack and configure it to your workflows; or clean up and re-architect the data you already have, with capture automation on top. Whichever the track, nothing writes to your CRM without a named human approving it. Scoped at a two-day diagnostic, live in about two weeks, on accounts you own.
THE PRACTICE · THREE WAYS IN
Most teams arrive through one of three needs — you’ll know yours on sight. The two-day diagnostic scopes whichever it is before a price is set.
For teams putting a CRM in place for the first time — or migrating off one they’ve outgrown, historical data intact.
For teams whose CRM works but sits on an island — data stranded between tools, processes that fight how the team sells.
For teams whose data is mostly usable but the architecture has drifted — duplicate fields, tangled pipelines, manual entry.
And needs shift on contact: a cleanup often surfaces a re-architecture, or a migration you’d been putting off. The diagnostic exists partly to catch when the real job is bigger than the one you came in for — and to scope it with you, with due diligence, before anything is committed.
Know which door is yours? Start here.
Book a scoping callTHE METHOD · HOW EVERY TRACK IS BUILT
Implement, integrate, or clean up — every track comes down to writing to a CRM you can’t afford to have corrupted. So every write, on every build, follows the same discipline. It’s why you can hand us a migration or a cleanup and not watch over our shoulder:
Nothing writes without a named human approving it. The automation drafts; a person decides.
Every write stores the value it replaced. Any change can be walked back — nothing is silently overwritten.
Ambiguous records are parked for review, never auto-resolved. Uncertainty is surfaced, not papered over.
A dismissed suggestion produces no write and no record against the rep who dismissed it. Declining the machine is free.
That last one matters more than it looks: adoption dies when the system polices the people using it. The discipline is built to be trusted by the team, not just the admin — and it governs the migration, the integration, and the cleanup alike.
THE CASE · WHAT THE RESEARCH SAYS
The research on CRM data is blunt: the trust problem is nearly universal, it compounds on its own, and it feeds on manual entry. Which is exactly the order this build attacks it in.
76%
of CRM users say less than half of their organization’s CRM data is accurate and complete — Validity, State of CRM Data Management, 602 CRM users surveyed (2025)
The caveat culture isn’t your team being careless — it’s the category baseline. It gets fixed at the field level, where it starts.
22.5%
of B2B contact data goes stale every year — people change jobs, roles, and inboxes — HubSpot, database-decay research
Even a clean CRM decays on its own. Cleanup without new architecture is a treadmill; the fix is capture that writes correctly from the start.
60%
of a rep’s week goes to everything except selling — Salesforce, State of Sales, 7th Edition (2026)
A meaningful share of that is feeding the CRM by hand. Capture with approval removes the typing without removing the control.
HOW IT RUNS · DAYS 1–14
Every build opens with the two-day diagnostic — and on this build that means your data is fully mapped, snapshotted, and reconciled on paper before a single field changes. Scoped and priced at the diagnostic — the number we lock is the number you pay.
Nothing is modified. We map the schema as it actually is — every field, what writes to it, which automations touch it, which reports depend on it — and take a full snapshot as the baseline. Findings land in the Kickoff Findings Brief, reviewed with you line by line.
Scope quotes the findings verbatim and the price locks against it in the SOW. What’s already sound stays untouched — and is named as sound in the brief, so nobody pays to have working things rebuilt.
The target schema is agreed before any data moves: field definitions, dedupe survivorship rules, the migration map, and the rollback plan. If a migration is in scope, the destination is stood up in parallel — your live CRM keeps running, untouched.
Migration runs against the map in staged batches, with record-count reconciliation at every step — a mismatch stops the line, it doesn’t get papered over. Reports rebuild on the destination; the capture pipeline goes in last, writing through the approval flow from its very first record.
You verify the numbers live — record counts, the reports you run the business on, a walk through the approval queue. Then the runbook, the acceptance checklist you sign against, every credential in your accounts, and hands-on training for the team that lives in it.
Want the plan mapped to your stack?
Book a scoping callTHE TERMS · EVERY BUILD, NO EXCEPTIONS
Locked at the diagnostic, before build hours start. The number on the SOW is the number on the invoice — and no retainer follows it.
Two weeks — two to three for AI grounding — with the diagnostic, the build, and the handover on the calendar before work begins.
Code, domains, credentials, playbooks — on your accounts from day one. If we disappeared tomorrow, your system wouldn’t notice.
The people who scope your build lead the build itself. No juniors learning on your instance, no account layer between you and them.
FAQ · ANSWERED STRAIGHT
Yes — ours. Rad Shift’s own CRM runs on the automated capture this build ships: every record in it arrived through the pipeline with campaign and owner attribution, and it has never been manually updated. On the scoping call we share a screen and walk it live — capture, record trail, and the approval queue as it ships in a client build.
A full snapshot is taken before anything moves and kept intact until you sign acceptance. The migration itself runs in staged batches with record-count reconciliation at every step — a mismatch stops the process rather than getting papered over. Nothing can be lost silently: any record that can’t be mapped cleanly is parked and surfaced for a decision, never dropped.
Yes, at two levels. The pre-move snapshot is the rollback point for the migration, and it stays intact until you’ve verified the numbers and signed off. Inside the capture pipeline the same principle applies record by record: every write stores the value it replaced, so any change can be walked back without archaeology.
They’re part of the migration map, not an afterthought. Every report the team actually uses is inventoried during the two-day diagnostic, rebuilt on the destination, and verified against the pre-move snapshot before handover — you check the numbers yourself before signing acceptance. If a report exists that nobody uses, the findings brief says so and you decide its fate.
Systems go unused when they add work, and the category’s standard rollout does exactly that. This build removes work instead: capture happens without typing, approving a write takes a click, and declining a suggestion is free — no write, and no record kept against the rep who declined. Handover includes hands-on training for the people who live in the CRM, not just the admin.
No — the build is designed to run beside the quarter, not through it. The diagnostic is read-only, the destination is stood up in parallel while your live CRM keeps running, and the cutover is a scheduled, reconciled event you approve — not a weeks-long limbo. The team keeps selling the whole time.
Rad Shift’s core team always runs the diagnostic and the final acceptance QA. Where a delivery partner executes part of a Zoho-native build — TuvisTech, a premium Zoho partner — they are named in the SOW and you consent before any access exists, never silently. In a category where subcontracting is routinely hidden, the disclosure is the point: you know every set of hands on your instance, by name.
Nothing in this build fails silently. Any write that can’t complete or reconcile is parked and raised to a named owner instead of vanishing; during migration, every batch reconciles record counts before the next one moves, and a mismatch stops the line. The runbook you receive documents each checkpoint — what the system does, and who gets told.
On the CRM side, by name: Zoho, HubSpot, and Salesforce — migration in any direction across the three. On the capture side, the stack we run ourselves: Apollo and Instantly wired into the CRM over a direct webhook. If your stack differs, the two-day diagnostic maps it before any build hours are spent.
Fixed scope, fixed price, no retainer. The category norm is a custom quote at the end of a discovery arc; ours is a number that locks at the two-day diagnostic — the CRM + Data Foundation starts at $4,999 USD — and goes into the SOW before a build hour is spent. It doesn’t move mid-build, and nothing recurring follows it.
Common, and not a problem. The diagnostic maps what’s done, what’s half-done, and what’s sound enough to keep — and the scope picks up from there rather than starting over. You pay for the distance remaining, not the distance already traveled.
It often does — a cleanup surfaces a re-architecture, or an integration reveals a migration you’d been deferring. That’s part of why the two-day diagnostic comes first: it scopes the real job, not just the one you came in for. If the work is larger than the presenting problem, you see the revised scope and price before anything is committed — nothing expands mid-build without your sign-off. The same discipline that governs every write to your CRM governs the scope itself.
That’s a diagnostic question, and it gets answered before the price locks. The two-day diagnostic maps your motion, your data, and your integrations, and the findings brief makes a recommendation with reasons — in whichever direction the evidence points. We implement across all three majors, so the recommendation isn’t steered by what we happen to be able to build.
You’re handed a working data layer and everything needed to run it without us: the runbook, the field dictionary, an acceptance checklist you sign against, and every credential in your own accounts. There’s no retainer and nothing that phones home to us. Dependency after handover would be a defect.
THE SCOPING CALL
We’ll look at your outbound together — the domains, the tools, where replies actually go today — and map it against this build. You’ll leave knowing whether it’s the right fix, what the diagnostic would cover, and the number it locks at. If it isn’t your build, you’ll hear that plainly too.
The calendar reserves a 30-minute slot. The call is the 20 minutes we committed to — the extra ten is buffer, yours back if we don’t need it.
Solving a different problem? Lead-Gen Stack · AI Grounding — or prefer the diagnosis first? The standalone audit: five days, $2,500, credited in full to any build within 90 days.