Platform
RecruitCRM consultants who fix the data, not just the settings.
RecruitCRM is a good ATS that most agencies run at about forty percent of what it can do. Fields nobody defined, imports pasted in by hand, and reporting that stops exactly where the interesting question starts. We configure it properly, clean what's already in there, and build the integrations the platform doesn't ship.
How the work runs
- 01Audit
- 02Agree the definitions
- 03Clean and reconfigure
- 04Build the integrations
Typical range
$2,400 – $20,000
Timeline
2–8 weeks
Example outcome
- First deliverable
- A written spec
- Duplicate policy
- Enforced at import
- Reporting source
- Warehouse, not a workbook
- Import path
- Repeatable
Built against
- RecruitCRM
- ZoomInfo
- Apollo
- n8n
- Postgres
- Neon
- QuickBooks
- Slack
The problem we solve
The ATS is the business, and it's full of guesses.
Every RecruitCRM engagement we've run started with at least two of these:
Imports go in by hand
Somebody exports from ZoomInfo or Apollo, opens the file in Excel, guesses at the column mapping, and pastes. Nobody can trace which candidates came from which list, and duplicates are already in play with two recruiters.
Custom fields multiply and nothing is defined
Six spellings of four concepts in the source field. Role families that mean different things to different desks. Every report built on top inherits the ambiguity and quietly reports the wrong thing.
Reporting stops at the dashboard
The built-in views answer the easy questions. Submittal-to-placement by desk over twelve months, or fee realization against what was quoted, means exporting to a spreadsheet somebody maintains by hand.
Billing lives outside the system
A placement starts and the invoice depends on someone remembering the fee basis, the terms, and the guarantee window. RecruitCRM's invoicing exists but its data model doesn't hold what an agency actually needs to bill from.
What we build
Configuration, then cleanup, then the integrations.
In that order, deliberately. Automating on top of an ambiguous field set just produces confidently wrong output faster:
Audit and reconfiguration
A pass over fields, pipelines, statuses, user permissions, and the workflows already running, with a written record of what each field is for. Most of the value is in deleting things and agreeing definitions rather than adding.
Bulk imports with governance rules
A repeatable path from ZoomInfo, Apollo, or a bought list into RecruitCRM: mapping fixed in advance, duplicate policy enforced at import, source and campaign stamped on every record, and an exception queue for rows that need a human.
OutcomeMapping and rules agreed in writing before anything is built
Taxonomy design
Source and role-family taxonomies that hold up across desks, so the report on where placements come from means something twelve months later.
Reporting beyond the built-in dashboards
Scheduled extracts into a Postgres warehouse with the stage definitions applied consistently, then dashboards over the top. This is how you get trend and cohort questions answered without a spreadsheet in the middle.
Placement-to-invoice
A start date triggers the invoice with the right fee basis and terms attached, and the guarantee expiry lands on a calendar so the clawback window never passes unnoticed.
Integrations with the rest of your stack
RecruitCRM to accounting, to Slack, to your email platform, to whatever else the desk runs on. Built in n8n so the logic is yours and visible rather than buried in a per-connection subscription.
Real example
A locked import spec before a single workflow was built.
The setup
A recruiting firm importing bought contact lists into RecruitCRM by hand. The first deliverable wasn't an automation, it was a written specification: every source column mapped to a destination field, the duplicate policy stated explicitly, the governance rules for what happens to a row that doesn't fit, and sign-off from the person who owns the data. Only then did the pipeline get built.
What we did
- 1Audited the existing field set and cut what nothing referenced
- 2Agreed the field mapping and duplicate policy in writing, then locked it
- 3Built the import in n8n with source and campaign stamped per row
- 4Routed unmappable rows to an exception queue rather than letting them in
- 5Rebuilt source and role-family taxonomies so reporting had stable categories
- 6Stood up scheduled extracts into Postgres behind the reporting layer
Outcome
- First deliverable
- A written spec
- Duplicate policy
- Enforced at import
- Reporting source
- Warehouse, not a workbook
- Import path
- Repeatable
How we deliver
How we run it.
Short engagements. An audit is usually two weeks and tells you whether the rest is worth doing.
Audit
Fields, pipelines, permissions, and whatever automation already exists, with a written record of what each thing is for and what nothing references any more.
Agree the definitions
Source taxonomy, role families, stage meanings, duplicate policy. Written down and signed off, because this is the part that decides whether every later report is true.
Clean and reconfigure
Dedupe against the agreed survivorship rules, normalize the fields humans typed inconsistently, and reshape the configuration around how the desks actually work.
Build the integrations
Imports, reporting extracts, billing handoff, and the connections to the rest of your stack, in n8n so you can see and own the logic.
Tools we work in
We build inside your stack, not on top of it.
Don't see a tool you use? Ask. We've worked with 100+ platforms; the list below is what comes up most often.
- RecruitCRM
- ZoomInfo
- Apollo
- n8n
- Postgres
- Neon
- QuickBooks
- Slack
- Google Workspace
- DocuSign
Pricing snapshot
$2,400 – $20,000
2–8 weeks
An audit and reconfiguration is usually $2,400–$6,000 and stands alone. Import pipelines with governance run $6,000–$13,500. Warehouse-backed reporting and placement-to-invoice are priced separately once the data underneath is trustworthy.
- Free 30-min scoping call
- Written fixed-fee quote
- Source code + workflows you own
- 30 days post-launch tuning
- No hourly surprises
Questions
Common questions.
- Can you fix our RecruitCRM without a full rebuild?
- Usually, and that's the normal engagement. The audit comes first precisely so you can decide. Plenty of what looks like a platform problem is three undefined fields and a stage that means different things to different desks, which is a configuration and definitions job rather than a migration.
- How does the import governance actually work?
- The mapping and the rules are agreed in writing before anything is built: which source column lands in which field, what happens when a record already exists, what counts as a duplicate, and where a row goes when it doesn't fit. The pipeline then enforces that rather than leaving it to whoever is pasting today.
- RecruitCRM has reporting built in. Why would we need more?
- For the questions it answers, use it. The limit shows up on trend and cohort work: submittal-to-placement by desk across twelve months, fee realization against what was quoted, source performance over time. Those need history held outside the ATS, which is what the warehouse is for.
- Do you migrate from Bullhorn or another ATS?
- Yes, and the honest warning is that migration is mostly a data-quality project wearing a migration costume. The export and import are the easy parts. Deciding what not to bring across, and reconciling record counts before anything is switched off, is where the time goes.
- What if we want the automation somewhere other than RecruitCRM?
- Fine by us. We build in n8n against the API, so the same patterns port to Bullhorn, Loxo, or JobAdder. If you're mid-way through choosing an ATS, we'll give you an opinion, and it won't always be RecruitCRM.
Explore more
Other services we offer.
01
Workflow Automation & Integrations
The core build: multi-step workflows that move data across your CRM, billing, project management, and comms. Automatically, reliably, and at scale.
Learn more02
AI Automation & Agents
The judgment layer: AI for the unstructured steps rule-based workflows can't handle, with validation, human gates, and a real answer on where AI doesn't belong.
Learn more03
Automation Strategy & Program Leadership
The engagement where we think and lead rather than build: audit, prioritization, and PMP-certified program leadership so the right things get automated in the right order.
Learn more04
Platform Implementations
End-to-end configuration, data migration, go-live, and team enablement for the platforms your business runs on.
Learn more05
Custom Apps & Data Platforms
When no SaaS fits the way you actually work: internal tools, client portals, and the reporting warehouse underneath them. Built on infrastructure you own outright.
Learn more06
Website Builds & SEO Programs
Marketing sites built like operations assets: fast, measured in Search Console, wired to your CRM, and QA-checked by an automated agent suite before launch.
Learn moreP
n8n Consulting & Development
The platform behind most of our builds: self-hosted deployments, Zapier and Make migrations, and managed hosting, plus n8n-native workflow development.
Learn moreGo deeper
RecruitCRM Consulting & Integration playbooks from the blog.
The Data Quality Playbook: Cleaning Your CRM Before You Automate Anything
You can't automate your way out of bad data. Here's the playbook we use to cleanse a CRM before building automation: duplicate cleanup, field normalization, enrichment, and the workflows that keep it clean.
Read the playbookWhy Most CRM Implementations Fail (And How to Avoid It)
70% of CRM implementations underperform or fail outright. Here are the four reasons it happens, and the playbook we follow to avoid each one.
Read the playbookReady to scope your recruitcrm consulting & integration project?
Request a call. We'll talk through your stack, your goals, and walk away with a scoped plan and a quote.