
Consulting-grade analysis at unprecedented speed
Skimle's co-founder Olli spent 18 years at McKinsey where he interviewed over 1000 clients, led multiple due diligence projects and drove strategy work for large companies. During this time, it became obvious that while the tools for quantitative analysis were solid (ranging from simple Excels to complex Tableau and R projects), the qualitative side was mainly hacked together with manual tools and workflows. Yet qualitative side is where the best insights came from, be it industry expert interviews, internal expert discussions, 500+ page existing reports, websites, data room contents and so on. Numbers tend to look backwards, text helps predict and control the future.
Olli co-founded Skimle to help consultants analyse expert calls, due diligence materials, reports and other data at same top-tier rigor he did while at McKinsey, but with startup-grade speed. AI handles the summarisation, synthesis and data organization. You focus on insights that matter for your clients.
Analysis that matches client expectations for depth AND speed
What took weeks of analyst time takes hours with Skimle—without sacrificing the rigor partners demand.
- Upload (almost) anything — Expert interviews, data room documents, reports, presentations, web research, transcripts, videos, emails—all in one unified project workspace
- Automated synthesis — Upload the data and get key themes, consensus views, outlier opinions, and red flags identified in minutes. Every insight links to specific expert quotes.
- Hypothesis-driven organization — Structure analysis around your issue tree or investment thesis. AI suggests themes; you organize them to match your client framework or deal structure.
- Cross-source intelligence — Compare what experts say vs. what company documents show vs. what market data suggests. Identify contradictions, validate claims, spot risks.
- Navigate complex projects — Intuitive interface to see all sources and insights at once. Query specific topics (e.g., "What did CFOs say about cash flow?") in seconds.
- Client-ready outputs — Generate synthesis documents, executive summaries, and appendices with supporting quotes. Export to PowerPoint-ready format in minutes.
- Works in 100+ languages — Global projects across markets. Analyze German data room documents, Chinese market studies, and English expert calls in one project.
- Full traceability — Partners can review your logic. Every recommendation traces to specific evidence. Defend your POV in steering committee meetings.
Why top consultancies are adopting AI-assisted analysis
For Strategy Consultants:
- Win more pitches: Deliver comprehensive market analysis 2 weeks faster than competitors
- Better project economics: Junior analysts focus on client interaction, not mechanical coding
- Deeper insights: Spend 80% of time on "so what" instead of on data organization
For Due Diligence Teams:
- De-risk deals faster: Identify red flags across 1,000-document data rooms in days
- Expert call leverage: Turn 30 expert interviews into actionable investment thesis validation
- Systematic coverage: Ensure nothing falls through cracks when reviewing large document sets
For Boutique Firms:
- Compete with MBB speed: Deliver BigCo quality and breadth without BigCo overhead
- Scale without hiring: Handle 2x project volume with same team size
- Premium positioning: Differentiate on insight depth AND turnaround time
What takes 2-3 weeks manually takes 1-2 days with Skimle—delivering both the rigor and speed consulting demands.
Try for free as an individual, or contact us to discuss consulting firm partnerships and enterprise licensing.
The reality of consulting today
Consulting teams face mounting project and competitive pressure:
- Billable hours paradox: Clients want deep insights but won't pay for weeks of junior analyst time coding interviews. You need quality fast, or the project economics don't work.
- Expert call overload: You've done 40 expert network calls (GLG, AlphaSights, Tegus, Inex One and others). Transcripts are sitting in a folder. The synthesis deck is due Monday. How do you extract signal from 600 pages... instead of just faking it?
- Data room overwhelm: Due diligence means reviewing 1,000+ documents in 2 weeks. You can't read everything, so you sample—and risk missing the red flag buried on page 67 of document 42.
- Junior analyst bottleneck: Your best people are on other projects. You're stuck with Excel trackers and Word docs that don't scale. Quality suffers or timelines slip.
- Knowledge loss: Every project creates valuable insights, but they're trapped in slide decks. You can't easily leverage learnings from previous engagements.
Skimle addresses these challenges with systematic analysis:
- Systematic processing handles the mechanical work — freeing consultants for strategic thinking
- Standardized methodology: Consistent quality across junior and senior staff
- Full traceability: Defend complex recommendations with full evidence trails
- Rapid synthesis: What takes weeks can be structured in days — then analysts focus on "so what" and "now what"
Using AI in consulting
Clients care about insight quality and speed, not your tools. Frame it as "AI-assisted human analysis" where AI handles data organization, you provide strategic interpretation. Skimle's full traceability means you can defend every recommendation with evidence.
Leading consulting firms and PE shops are already using AI to improve efficiency while maintaining quality standards. Skimle gives you the transparency and rigor that differentiates professional consulting from automated analysis.
You want to use AI to improve quality and get results faster - not to produce AI slop or hallucinations.
How consultants can use Skimle
Expert Network Interview Synthesis
Conducted 30 AlphaSights and GLG calls to validate market entry strategy. Skimle identifies consensus on market size, contradicting views on competitive dynamics, specific risks flagged by industry veterans, and tactical execution recommendations.
Due Diligence Data Room Analysis
PE firm evaluating software company acquisition. Data room has 800 contracts, financial docs, product specs, and customer communications. Skimle categorizes contract terms and non-standard clauses, customer concentration risks, product roadmap commitments, employee retention issues, and IP/legal red flags. Partners get comprehensive risk assessment with exact document references.
Market Landscape & Sizing Study
Client needs TAM analysis for new business line. Upload 50 market research reports, 20 competitor analyses, regulatory filings, and 15 expert interviews. Skimle synthesizes market size estimates (with source triangulation), competitive positioning insights, regulatory/macro trends, and customer segment analysis. Deliver market entry business case with full source documentation.
Commercial Due Diligence
Validate revenue quality for acquisition target. Analyze 40 customer interviews, sales pipeline data, NPS feedback, and support tickets. Identify true drivers of customer satisfaction, churn risk indicators by segment, product-market fit validation, competitive win/loss themes, and pricing power evidence. Deliver CDD report with verbatim customer quotes.
Post-Merger Integration Planning
Map cultural and operational integration risks. Interview 60 employees across both organizations. Skimle identifies cultural friction points, process redundancies, talent retention risks, quick-win opportunities, and change management priorities.
Strategic Business Case Validation
Client proposes major business model shift. Analyze internal stakeholder interviews, customer feedback, competitor strategies, and market research. Validate assumptions, identify blind spots, and pressure-test revenue projections against actual market evidence. Deliver steering committee recommendation with full evidence trail.
Competitive Intelligence Deep-Dive
Understand how leading competitor is winning. Compile web research, customer interviews mentioning competitor, analyst reports, news articles, and expert interviews. Synthesize competitive strategy, product differentiation, pricing approach, sales tactics, and vulnerabilities. Create "how to compete" playbook.
Voice of Customer for Strategy
Growth strategy requires deep customer understanding. Analyze 50 B2B customer interviews and 2,000 support tickets. Identify unmet needs, willingness to pay for new offerings, switching barriers, and segment-specific priorities. Turn qualitative insights into quantitative business case inputs.
Regulatory & Policy Impact Assessment
New regulation will impact client's industry. Analyze regulatory consultation submissions, expert commentary, policy documents, and stakeholder interviews. Identify consensus industry interpretation, outlier risk scenarios, compliance timeline pressures, and strategic response options. Deliver board-ready regulatory impact brief.
Operational Excellence Diagnostic
Identify operational improvement opportunities. Interview 40 employees across the value chain, review process documents, and analyze operational data. Synthesize process bottlenecks, automation opportunities, best practice gaps, and efficiency initiatives.
ROI for Consulting Firms
Time Savings:
- Expert interview synthesis: 2 weeks → 2 days (85% reduction)
- Due diligence data room review: 3 weeks → 4 days (80% reduction)
- Market research synthesis: 10 days → 2 days (80% reduction)
Economic Impact (typical project):
- Junior analyst time saved = staff teams with senior credibility
- Faster delivery = win more competitive pitches
- Higher quality = repeat clients and referrals
Quality Improvements:
- Systematic review ensures nothing missed
- Full traceability strengthens recommendations
- Standardized quality across junior and senior staff
- Cross-project knowledge accumulation
Example: PE Due Diligence Project
- Deal timeline: 8 weeks
- Expert calls: 25 interviews
- Data room: 600 documents
- Traditional approach: 3 analysts × 2.5 weeks = 300 hours
- With Skimle: 1 senior analyst × 3 days setup + AI processing = 48 hours
- Savings: XXX EUR in labor, 2 weeks in calendar time, lower risk of missing critical issues
Comparison: Choosing your analysis approach
When evaluating analysis methods for consulting projects, consider project economics and competitive positioning.
| Manual (Excel/Word) | ChatGPT/Claude | Traditional QDAS | Outsourced team | Skimle | |
|---|---|---|---|---|---|
| Speed | Slow (2-3 weeks) | Fast (hours) | Slow (2-3 weeks) | Medium (1+ week) | Fast (1-2 days) |
| Quality/Rigor | Good (if time allows) | Poor (no traceability) | Excellent | Excellent | Excellent |
| Handles complexity | Breaks down at scale | Limited context | Yes | Yes (expensive) | Yes |
| Multi-source integration | Manual | Limited | Manual | Manual | Built-in |
| Client-ready outputs | Manual formatting | Needs heavy editing | Manual | Yes | Automated |
| Defend recommendations | Manual documentation | Difficult | Good | Good | Full traceability |
| Cost (typical project) | Junior analyst time (€5k-15k) | €100 | Software + analyst time | €10k-25k | €100-500 |
| Scales across projects | No knowledge retention | No | Limited | High staff costs | Yes |
| Best for | Very small projects | Quick drafts | Academic research | Large firms with bench | Efficiency + rigor |
When to choose manual: Very small projects (under 10 interviews) where personal synthesis is faster than setup time.
When to choose Skimle: Any project with 15+ expert interviews, large data rooms, multi-source research, tight deadlines, or when you need to defend complex recommendations with full evidence trails.
*When to choose outsourced research analyst teams: When you have deep bench capacity, no time pressure, and project economics support substantial analyst hours.
When to choose ChatGPT: When you're fine with the Partner asking "How do you know this?" and you have no good answer :)
Scale and capacity
Skimle can handle up to 1,000 documents in a single project. For typical consulting work:
- Strategy projects (20-100 sources): Optimal
- Due diligence data rooms (100-1,000 documents): Excellent
- Expert interview synthesis (15-50 calls): Perfect fit
- Multi-language global projects (100+ languages): Fully supported
Need more capacity or white-label options? Contact us for consulting firm partnerships.
Frequently Asked Questions
Will clients accept AI-assisted analysis?
Yes—if you position it correctly. Clients care about insight quality and speed, not your tools. Frame it as "AI-assisted human analysis" where AI handles data organization, you provide strategic interpretation. Skimle's full traceability means you can defend every recommendation with evidence. Given recent scandals with companies producing substandard work using AI, you want to make sure you and the client understand the differences in quality between different AI approaches.
Can we use this for confidential client data?
Yes. Data is processed securely, not used to train AI models. We support NDAs, data processing agreements, and can accommodate most IT security requirements including single-tenant deployments.
What if we need to review our work with partners or client executives?
Skimle maintains full audit trails. Partners can see exactly which sources support which conclusions, review your coding logic, and drill into specific topics. The transparency actually makes partner review faster and more productive as they see the full picture in an easily navigable way.
Can we reuse learnings across client projects?
Yes and no. Each project is isolated for confidentiality. But you can create methodology templates, category frameworks, and analysis approaches that you reuse across similar projects (e.g., your standard CDD framework, your market sizing approach).
Does this replace junior analysts?
No—it makes them more effective. Junior analysts spend less time on mechanical tasks (copying quotes, organizing notes) and more time on value-add work (client interviews, analysis, recommendations). They can handle more complex projects sooner in their career.
How does this work with expert network platforms?
Seamlessly. Export transcripts from GLG, AlphaSights, Tegus, or other platforms and upload to Skimle. Works with any transcript format and allows you to centralize expert call analysis to one platform, together with the rest of the data, instead of being stuck on low quality ready AI tools bolted on different platforms.
Can we white-label this for client deliverables?
We offer partnership arrangements for consulting firms. Contact us to discuss white-labeling, co-branding, and enterprise licensing options.
Ready to spend 80% of your time on insights, not organizing data?
Upload a sample project—expert call transcripts, due diligence documents, whatever you're working on. See how Skimle cuts weeks of grunt work and allows to jump directly strategic thinking.
Try Skimle for free to start analyzing consulting projects immediately. Individual consultants can begin using Skimle right away.
Contact us for consulting firm partnerships to discuss white-labeling, enterprise licensing, team pricing, and firm-wide agreements. Skimle offers flexible arrangements for strategy firms, PE shops, and boutique consultancies.