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AI Implementation Services · ship AI on the stack you already run

AI implementation services that add AI to the tools you already use — HubSpot, Salesforce, Notion, Slack, monday, ClickUp, your own SaaS

Most AI consulting firms walk in and recommend you replace your stack. We do the opposite: we ship AI capabilities into the tools you already pay for. AI agents inside your CRM, RAG over your knowledge base, AI-drafted replies in your existing helpdesk, lead scoring on your current pipeline, classifier nodes wired into your workflow tool. No migration. No rip-and-replace. Specific scoped use cases shipped to production.

Book the free audit→See pricing

2–4 wk

time to first AI use case live

2–4

use cases per engagement typical

Zero

platform migration required

dgcore — AI Implementation queue

LIVE

▸ Ship AI into the tools you already run

CRMHubSpot · AI lead scoringSHIPPING

CRMSalesforce · AI call recapQUEUED

KBNotion · RAG over docsQUEUED

CHATSlack · AI knowledge botQUEUED

OPSHelp Scout · AI tier-1 draftsQUEUED

NO MIGRATION · AI capabilities live inside your existing stack.

Time to first live

2–4 wk

Migrations required

Zero

Certified on the platforms you already use80+ builds shipped

GoHighLevel

HubSpot

n8n

Make.com

Zapier

Klaviyo

Airtable

▸ Our verdict on AI Implementation Services

AI Implementation is the right engagement when your stack already works and you want AI capabilities added to it — not when you want a new operating system. The math is decisive: the average operator has 6–12 weeks of AI use cases that ship cleanly into existing tools at a fraction of the cost (and risk) of a full rebuild. We pick the 2–4 highest-leverage use cases, ship them on your existing stack, and prove value before anyone proposes platform changes.

What we deliver

What our AI Implementation Services engagements cover

Standard scope. Custom scope available on the audit.

◆

AI agents inside your existing CRM

AI setter, qualifier, follow-up, recap — built into HubSpot, Salesforce, Pipedrive, monday, or whatever CRM you already use. Native fields, native automations, no replatform.

⌬

RAG over your knowledge base

Retrieval over your Notion, Drive, Confluence, or SharePoint. Answers grounded in your docs. Slack-bot or in-app interface — wherever your team already works.

✦

AI copilots in your workflow tools

Classifier nodes, AI summaries, AI-drafted replies, sentiment scoring inside the tools you run today — Slack, Intercom, Help Scout, ClickUp, Linear, Asana.

⌘

Scoped use-case delivery

We pick 2–4 highest-leverage AI use cases, scope each one independently, ship to production with monitoring + rollback. No "platform" sold. Just shipped capabilities.

Engagement model

From audit to live AI Implementation build in 4 steps

Same engagement shape as every digicore101 build. Predictable timeline, predictable cost, no scope creep.

017 days

AI Audit

60-min strategy session, stack map, leak analysis, costed roadmap. Vendor-neutral — yours to keep.

·Architecture diagram
·Build sequence
·Cost + timeline lock

025–10 days

Architecture

AI Implementation schema, automations on paper, integration map, AI agent personas.

·Approved schema
·Sign-off on flows
·Migration plan if applicable

032–6 weeks

Build & Deploy

Weekly demos, staged rollout, full handoff documentation. You own everything.

·Live system
·Loom walkthroughs
·Team training session

04Ongoing

Train & Support

Retainer keeps the AI Implementation stack tuned, monitored, and improving — not just running.

·Slack channel
·Weekly tune cycle
·Monthly reporting

The math

Rip-and-replace AI consulting vs AI Implementation · 12-month engagement cost

Most AI consulting engagements start with a platform recommendation: replace your CRM, replace your helpdesk, replace your knowledge base. The migration eats months and the AI use cases ship after. AI Implementation flips the order — ship the AI value first, on the stack you already run, and let platform decisions follow evidence.

✓Rip-and-replace: $40k+ engagement · 3–6 mo to first AI value · 1 use case shipped (the migration)

✓AI Implementation: $10–25k engagement · 2–4 wk to first AI value · 2–4 use cases shipped

✓Migration risk avoided: ~$15–30k of cutover, retraining, and parallel-run cost

✓Plus zero vendor lock-in — capabilities live in your existing stack

Time to first shipped AI use case

Rip-and-replace consulting3–6 mo

Migration first · AI later

AI Implementation2–4 wk

AI value first · platform decisions follow

Time-to-value reduction−80%

Plus 2–4× the use cases shipped

The math

−$25k+ engagement

plus 2–4× use cases shipped

Default vs AI Implementation Services

How rip-and-replace AI consulting compares to AI Implementation

Honest comparison. We will tell you when the simpler answer is right.

CapabilityRip-and-replace consultingAI on your existing stack

Starting pointNew platform · new contractsTools you already pay for

Migration riskMonths of cutoverZero — nothing migrates

Time to first AI use case live3–6 months2–4 weeks

Use cases shipped per engagement1 (the migration)2–4 scoped AI use cases

Team retrainingNew tool · new SOPsSame tools · new capabilities

Vendor lock-inHigh · platform-tiedLow · capabilities live in your stack

Recent AI Implementation work

How real operators used this

Names anonymized where requested.

HubSpot

B2B services · AI lead scoring + reply drafts in HubSpot

AI scoring on inbound leads + AI-drafted first-touch replies inside HubSpot. No CRM change. 3 weeks to live.

HubSpotAI scoring3 weeks

Notion

SaaS · RAG over Notion docs in Slack

Slack-bot answering team questions grounded in 4,200 Notion pages. Citations, freshness checks, Slack thread continuity.

Notion + SlackRAG4.2k docs

Salesforce

Mid-market · AI call recap into Salesforce

Recorded calls → AI summary → posted to the Salesforce opportunity with next-step suggestions. Reps stopped dropping notes.

SalesforceCall recapNative record

Help Scout

DTC · AI tier-1 reply suggestions in Help Scout

AI drafts tier-1 replies inside Help Scout with confidence threshold. Below threshold escalates with context. Median first-response −62%.

Help ScoutAI drafts−62% FRT

When this fits

Honest scope — and who shouldn't engage

AI Implementation pays back when your stack works and you want AI capabilities added to it — not when you want a new operating system.

✓ Engage when

Your existing tools work
CRM, helpdesk, workflow tools fit your team. Pain is missing AI capability, not bad tooling.
You want shipped AI value fast
2–4 weeks to first live use case beats 3–6 months of migration.
You hate vendor lock-in
Capabilities live in your existing stack. Swap any tool later without losing the AI work.

✗ Don't engage when

Your stack is genuinely broken
If the underlying tooling does not fit, AI on top will not save it. Custom Builds is the right shape.
You need a full operating system
CRM + AI + automations + dashboards designed together → Custom Builds.
Pre-revenue · no clear use case
AI Implementation is for operators with a working business and identified bottlenecks. Validate offer first.

Pricing depends on scope

Every AI Implementation Services build is a different shape.

We don't quote off a feature checklist — we quote off your stack, your bottleneck, and the build phases that actually move revenue. The audit is the front door: free, 7-day costed roadmap, vendor-neutral.

Book the free audit→See full pricing

FAQ

Questions before we start

How is this different from Custom Builds?+

Custom Builds ships a new operating system — CRM + AI agents + automations + dashboards designed together. AI Implementation ships specific AI capabilities into your existing tools, no replacement. Custom Builds when you want a clean slate; AI Implementation when your stack works and you want AI added to it.

How is this different from Process Automation?+

Process Automation ships workflows (rules-based with light AI nodes). AI Implementation ships AI capabilities as the primary deliverable — agents, copilots, classifiers, RAG. Most engagements use both: the AI capability is the unit of value, the workflow is the plumbing that delivers it.

How is this different from API Integrations?+

API Integrations is the plumbing layer (retry logic, idempotency, observability). AI Implementation is the AI use case shipped on top of whatever plumbing fits. We use API Integrations when the plumbing is the bottleneck; AI Implementation when the AI capability is.

How is this different from a Fractional AI Officer?+

FAO is ongoing strategic advisory — decisions, vendor selection, architecture review. AI Implementation is scoped delivery — specific shipped working AI capabilities. Most operators run FAO and AI Implementation together: FAO sets direction, Implementation ships the use cases.

Do you support our specific stack?+

Almost certainly. We have shipped AI use cases into HubSpot, Salesforce, Pipedrive, ActiveCampaign, monday, ClickUp, Asana, Linear, Notion, Slack, Intercom, Help Scout, Zendesk, Airtable, and a long tail of custom SaaS. If your stack has APIs and webhooks, we can ship AI into it. If it does not, we will tell you on the audit.

What does it cost?+

Single AI use case $2,997–$7,997. Multi-use-case suite (3–5 use cases shipped together) $9,997–$24,997. Retainer $1,497+/mo for ongoing tuning + new use cases. Most operators start with 2–3 use cases scoped from the free AI Stack Audit.

Keep exploring

Where AI Implementation Services fits in the bigger picture

Most engagements layer 2–3 platforms with a service shape. These pages map the surrounding territory.

Ready when you are

Ready to scope your AI Implementation Services build?

Book the free AI System Audit. We map your stack, find the leaks, and deliver a build roadmap in 7 days. Vendor-neutral.

Book the free audit→See pricing →