# Dear Future vs Implement Consulting Group

> Two top-rated AI Consulting agencies in Copenhagen. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/dear-future-vs-implement-consulting-group
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Dear Future | Implement Consulting Group |
|---|---|---|
| Editorial score | 61.8/100 | 61.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 250+ |
| Location | Copenhagen, Denmark | Copenhagen, Denmark |
| Founded | 2005 | 1996 |
| Last reviewed | 2026-09-09 | 2026-09-03 |
| Services | AI SEO, AI Consulting, AI Development | AI Consulting, Generative AI, AI Development |
| Industries | E-commerce, SaaS & B2B | Manufacturing, Healthcare, Public Sector |

## Our take on Dear Future
Reviewed 2026-09-09 by Gabor Kiss against published evidence.

This is the most measured portfolio in the Copenhagen roster. For Bonnier Publications, customer data from the CRM, Google Analytics and the newsletter platform was consolidated into BigQuery, a purchase-propensity model segmented 33.3 million users into five groups, and the segments were activated directly in search and display: 53 percent growth in digital subscription sales, 18 percent higher conversion, 327 million predictions generated.

The pattern repeats at smaller scale. Atrium's course-demand model predicts registrations three months out from web activity joined to CRM and booking data, returning 45 percent better marketing performance and two to three hours a day off manual monitoring. A clinically trained chatbot for the addiction treatment center Tjele produced 354 conversations and 25 qualified calls in three months, a 14 percent conversion, against telephone inquiries falling 20 to 30 percent.

The Pandora engagement is the honest counterweight: the client had already built a customer-lifetime-value model that its national marketing teams were not using, and the work was activation and roadmapping rather than modeling.

The weaker fit is a buyer who needs a model built from research rather than from commercial data already in the stack.

### Key strengths
- Outcomes are published with the mechanism attached—33.3 million users into five segments, 327 million predictions, 53 percent subscription growth for Bonnier Publications
- The data path is named on each engagement: CRM, analytics and platform data consolidated into BigQuery before any model is trained
- Twelve case studies, every one with a named client, spanning media, retail, healthcare and education

### Good to know
- The work sits on commercial first-party data—if your problem needs a model trained on something else, ask for that engagement specifically
- The Pandora case is activation of a model the client already had; check which of your candidates' studies are modeling and which are adoption
- Trading since 2005 under a former name and rebranded recently—confirm which team carried over and who would staff you

## Our take on Implement Consulting Group
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

Look past the firm's size and the AI case-study library is thin but real: Forca, a Danish pension administrator, put a GPU-based call-transcription and documentation assistant into use and reports agents preferred the AI notes in 80%-plus of tests, freeing about 10% of working hours and enabling a 5% workforce reduction.

A second, unnamed life-sciences client's regulatory-triage system achieved 100% recall while filtering 42% of incoming updates as irrelevant across 1,500-plus historical events, though the companion retrieval-comparison tool was still not production-ready when the case study was published.

The weaker fit is buyers who assume AI delivery scales with headcount here—outside these two documented builds, most of the published work is strategy research and advisory reports rather than deployed systems.

### Key strengths
- Every case study lists a named consultant with direct phone and email, not a generic contact form.
- The regulatory-triage system logs the reasoning behind every filter decision, an audit trail built for compliance review rather than a black-box classifier.
- Named public-sector clients (KL, ATP, the Ministry of Digital Government and Gender Equality) jointly commissioned an LLM policy study, showing government-level trust in the practice.

### Good to know
- Ask whether your AI work would be staffed by the firm's dedicated tech unit or by generalist management consultants.
- Confirm the production status of any retrieval or comparison component specifically—one published case notes its tool was not yet production-ready at write-up.
- No published hourly rate for AI work—get a scoped quote early rather than assuming the firm's broader consulting rate card applies.

## Which to choose
Choose Dear Future for:
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce / SaaS & B2B
- broader service offering — also covers AI SEO

Choose Implement Consulting Group for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing / Healthcare
- broader service offering — also covers Generative AI

## Questions buyers ask

### Which scores higher overall, Dear Future or Implement Consulting Group?
Both score equally well overall (61.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.

### When should I consider both Dear Future and Implement Consulting Group?
Consider running parallel discovery briefs with Dear Future and Implement Consulting Group if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

---
Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates