Global strategy consulting firm
Investment Diligence Agent
A multi-step agent that evaluates opportunities, pulls stakeholder intel, and generates exec-ready reports on its own.
80% faster diligence1 agent = 3–4 analystsLive in 6 weeks
AI Pods · powered by Marvin
Stop prototyping AI.
Start shipping it.
A specialist pod embeds with your team and builds on Marvin - our proprietary enterprise AI engine - to take you from your first use case to live deployment across the organization.
One pod. Every discipline. One AI core.
Track record
We've done this at scale.
Agents in production, not pilots - a sample of what shipped.
200+
Strategic & operational workflows delivered
30+
AI enablement projects completed
50+
Cross-functional expert pods mobilized
15+
Industries supported across MEA & global
Delivered for
Insurance provider
AI Sales & Advisory Agent
A 24/7 conversational agent that handles lead engagement, policy guidance, and qualification - with intelligent escalation.
70% of leads handled by AI24/7, zero extra headcountLive in 6 weeks
“Agility and ease of embedding such a team within my tech architecture.”UAE Mobility Authority
See it work
From one sentence to a system in production.
Four beats, start to finish - watch a pod go to work.
Cut our investment diligence from three weeks to three days.
DiligenceAgentic workflow6-week build
The paradox
Shipping an agent demo is easy. Shipping a working one is hard.
A working prototype is about 10% of the job. Production-grade enterprise integration is the other 90%.
Build & prototypeA working agent in 2–3 weeks with modern AI tools - the 10% above the line.
The 90% below the waterline
- System & API integration
- Data security & governance
- Compliance & auditability
- Change management & adoption
- Performance monitoring & drift
- Organisational readiness
27%
have a clear AI use case before they start deploying.
IBM IBV, 2023
51%
name data privacy and security as a top risk to AI adoption.
State of AI, 2025
62%
of organizations using AI still haven't reached the scaling stage.
State of AI, 2025
The pod
One pod. Every discipline your build needs.
Strategy, engineering, data, and design - assembled around your problem and orchestrated by Marvin, our AI engine. One team, not a hand-off chain.
MarvinAI engine
Delivery
Project Director
Owns delivery, quality, and commercial accountability end to end.
In every pod
Architecture
Solution Architect
Designs the end-to-end AI architecture and agent system.
In every pod
Engineering
Technical Manager
Holds code standards and keeps the pipeline fast and reliable.
In every pod
Engineering
Forward-Deployed Engineers
Build the agents, wire the tools, and automate the workflows.
In every pod
Data
Data Scientist
ML models, predictive analytics, and anomaly detection.
In every pod
Strategy
Business Consultant
Scopes the use cases and maps them to your real workflows.
In every pod
Design
UI/UX Designer
Dashboards, prototypes, and the visualizations people actually use.
In every pod
The network
A deep network of industry & functional experts.
We define the what, then deliver the how - with people who have already done it before.
60,000+
independent experts
Strategy · Functional · Technical · Domain
48 hrsPod deployment
1%Top talent matched
10 yrsNetwork curated
AI capability depth
- Agentic workflow development
- LLM integration & fine-tuning
- RAG & knowledge systems
- Workflow automation
- Data engineering & pipelines
- MLOps & deployment
- AI governance & compliance
- Predictive analytics
- Conversational AI
- Computer vision / multimodal
Geographic spread - MENA · EU · South Asia · N. America · SE Asia
Experts drawn from
The process
Three phases. Clear gates. From first audit to embedded capability.
Nothing scales until it earns its gate - no surprises, no runaway pilots.
01Diagnose
2–3 weeks
Understand before you build
- AI readiness audit
- Use-case identification
- ROI & priority mapping
- Stakeholder alignment
Output
An AI opportunity map, a prioritized backlog, and agreed success metrics.
02AI Lab
3–6 weeks
Prove before you scale
- Agent architecture design
- MVP build in 2–3 week sprints
- Test, validate, iterate
- Production sign-off
Output
Live prototypes, validated use cases, and integration-ready agents.
03AI Factory
Ongoing
Scale what works
- Full deployment to live systems
- A repeating use-case pipeline
- Monitor & optimize
- Capability transfer to your team
Output
Embedded AI systems, a self-sustaining pipeline, and in-house capability.
Security, evals & data
The hard parts, handled.
The questions your security, legal, and data teams will ask - answered before they're raised.
Built to clear your security review.
Agents run inside guardrails your CISO can sign off on - deployed in a sandbox, scoped to least privilege, and encrypted end to end.
- Sandboxed deployment - in your cloud or ours - never a shared tenant.
- Data sovereignty - region-pinned; data stays in your approved geography.
- RBAC & least privilege - every agent gets the narrowest scope that works.
- Encryption in transit & at rest - secrets vaulted, never written to logs.
Governance & outcomes
Incentives tied to measured results - not deliverables.
Targets are set with you and signed off jointly. Miss them and our fee does too.
≥95%
Workflow execution success
Successful runs ÷ total runs.
20–30%
Task cycle-time cut
Reduction versus your baseline.
≤2/mo
Agent reliability
Critical failures per month.
2 mo
Incentive unlock
Our fee is tied to hitting all three.
Engagement models
Set-ups for every stage of AI maturity.
Start with one use case or commit to the whole programme - same pod, same standard.
AI Sprint
2–4 weeks
Best if you want to prove one use case before committing.
- Use-case scoping
- Rapid prototype build
- Integration POC
- Handover & docs
→ A working AI prototype in 2–4 weeks.
Start a sprint →Embedded Pod
3–6 months
Best if you're ready for a full programme across teams.
- Full discovery & design
- Multiple use-case builds
- System integrations
- Team training & change mgmt
→ Live AI across 3–5 workstreams.
Talk to us →AI-as-a-Service
Ongoing engagement
Best if your AI needs to keep evolving month over month.
- Monthly execution capacity
- Model monitoring & retraining
- New use-case development
- Strategic AI advisory
→ A continuously evolving AI capability.
Talk to us →Why StrategyConnect
Not a tool. Not a consultant. Not a hire.
The only model combining strategy, technical execution, AI-native delivery, and change management - in one embedded team.
Swipe to compare →
| SC AI PodRecommended | Traditional consultantAdvisory | In-house hirePermanent | Off-the-shelf toolSoftware | |
|---|---|---|---|---|
| Time to deploy | 48 hours | 4–8 weeks | 3–6 months | Days (limited) |
| End-to-end delivery | ✓ | Strategy only | Build only | ✗ |
| Embedded in your org | ✓ | ✗ | ✓ | ✗ |
| Custom-built for you | ✓ | Partly | ✓ | ✗ |
| AI-native execution | ✓ | ✗ | Depends | ✓ |
| Change management | ✓ | Sometimes | ✗ | ✗ |
| Ongoing iteration | ✓ | ✗ | ✓ | Limited |
| Cost efficiency | High | Low | Medium | High (narrow) |
Let's build
Start your AI transformation today.
An AI Pod embeds within 48 hours and delivers working systems - not decks. Run one use case, or map the whole opportunity first.