More time. Less noise.

At the end of the day, artificial intelligence exists for one reason. More time for the things that actually matter.

Service pillars
AI Roadmap
Reality Check · Objectives · Plan
AI Roadmap
Map how the business actually runs. Identify what can be automated now, what needs groundwork first, and what's noise. One plan, no friction, early wins built in.
Knowledge Capture
Extract · Structure · Retrieve
Knowledge Capture
The best operators carry decades of knowledge in their heads. We get it out, structure it, and make it available to every system and every team member — permanently.
Process Automation
Sandbox · Validate · Deploy
Process Automation
One workflow at a time. Test it in isolation, validate it against real operations, deploy it. Then the next one. Results compound, risk doesn't.
System Integration
Connect · Unify · Streamline
System Integration
Most companies run on tools that don't talk to each other. We connect them — data flows between systems, departments stop duplicating work, and nothing falls through the cracks.
Team Training
Hands-on · Role-specific · Practical
Team Training
Training on the actual tools the team will use, tailored to each role. Not a webinar — hands-on sessions until the team runs it better than we do.
Change Management
Adoption · Trust · Habits
Change Management
Technology doesn't fail. Adoption does. We manage the human side — resistance, trust, habits — because the best tool is useless if nobody uses it.
Discovery

Inference without context is guesswork.

Find the Gaps
Interview operators, trace undocumented processes, identify where the knowledge lives and where it gets lost. The audit before the action.
Connect the Dots
Recovered intelligence goes into systems that talk to each other across departments, tools, and silos. One source of truth, accessible to everyone who needs it.
Future-Proof It
Built to adapt. When a better tool arrives next month, the systems migrate. No rebuilds, no lock-in, no starting over.
← most companies are here right now
Sprint

Early wins that compound.

Prove It First
Nothing touches production until it works in a sandbox. Test against real conditions, validate the results, deploy only what's proven.
Show, Don't Promise
A working tool, a faster process, a problem solved. Every week. Momentum builds trust. Trust accelerates everything.
Never Fall Behind
Each deployment builds on the last. The landscape shifts weekly and the operational advantage compounds for those who keep moving.
Handover

Cultural intelligence.

human, not artificial !
Teach to Fish
Training tailored to each role, on the tools the team actually uses. The goal is a team that improves on its own.
Meet Them There
Complexity broken into pieces that don't overwhelm. The right language for each person, whether they think in spreadsheets, bullets, or graphs.
It's Yours Now
Everything we build gets handed over. Documentation, configurations, architecture. Production-ready, fully owned, independent from us.
System output
Operations
Leadership
Frontline
Deployments

Recent deployments.

Biotech · Colombia
Unified data management across a vertical supply chain
Research, production, exports, warehousing, sales — five departments, five methodologies, over 50 document types integrated and standardized into a single system with role-based endpoints.
50+
Document types standardized
0%
Efficiency gain in man-hours
Government Affairs · Washington DC
Autonomous OSINT monitoring and reporting engine for a government client
Runs overnight, fully autonomous. Aggregates, verifies, and formats open-source intelligence to exacting specs — right sources, right format, never late. One human review layer before submission.
0%
Cost and man-hour reduction
0%
Human error eliminated
Legal Tech · Spain
Process automation across seven stages for a legal services firm
Thousands of concurrent legal processes — administrative filings, case management, documentation. Automated seven stages end to end, re-architected the database.
28 → 4
Staff required
0 stages
Automated
Luxury Events · Dubai
End-to-end BD automation for a luxury marketing events company
Automated market intel, opportunity identification, proposal generation, outreach, and follow-up. From manual prospecting to a pipeline that runs itself. Converted leads into sales in week one.
100+
Man-hours saved per month
300%+
Outreach volume increase
All deployments →
Intel

It's happening

Google rolls out AI assistant in Chrome across seven new countriesTechCrunchApr 20 Vendor-led AI projects succeed 2x more often than internal buildsRick's Cafe AIApr 19 Cerebras files for IPO as AI chip wave hits public marketsTechCrunchApr 18 Anthropic releases Claude Design to turn prompts into prototypesAnthropicApr 17 Salesforce opens its CRM as AI-agent infrastructure with Headless 360SalesforceApr 16 Google launches Gemini 3.1 Flash TTS with more expressive AI voiceGoogleApr 15 Chrome adds one-click AI prompt tools for everyday workflowsGoogleApr 14 Stanford AI Index: customer service sees 14% productivity lift, software dev 26%Stanford HAIApr 13 OpenAI forecasts $2.5B ad revenue in 2026, scaling to $100B by 2030OpenAIApr 12 Anthropic extends Microsoft 365 connector to all Claude usersAnthropicApr 11 AI agent race triggers first wave of real-world deployment failuresTechCrunchApr 10 Gallup: half of US workers now use AI at work, up from 46% last quarterGallupApr 9 Meta debuts Muse Spark, its first major AI model since the $14B Scale AI dealCNBCApr 8 Microsoft locks current Copilot pricing for SMBs before July 1 rate changeMicrosoftApr 7 NVIDIA and Marvell partner on mix-and-match AI rack architecturesNVIDIAApr 6 MIT shows how to cut AI training compute costs without hurting performanceMITApr 5 Microsoft launches 3 new AI models to compete with OpenAI and GoogleVentureBeatApr 4 Atlassian cuts 10% of workforce, installs two AI-focused CTOsAtlassianApr 3 Google launches Gemini 3.1 Ultra with a 2M-token multimodal context windowGoogleApr 2 Microsoft commits $10B to AI expansion in Japan through 2029MicrosoftApr 1 Oracle cuts 30,000 jobs to fund a $156B AI infrastructure buildoutOracleMar 31 Microsoft's Copilot Cowork adds multi-model workflows and response comparisonMicrosoftMar 30 Anthropic releases Claude Mythos 5, its largest model to dateAnthropicMar 29 Mistral releases Small 4, a 40%-faster open-source AI modelMistralMar 28 Anthropic ships Claude 4.6 Opus with 1M context windowAnthropicMar 27 Google Workspace integrates Gemini agents for document workflowsGoogleMar 26 SAP announces AI copilot for mid-market ERP customersSAPMar 25 Oracle expands AI Agent Studio with agentic workflow builderOracleMar 24 Forrester: 72% of failed AI projects cite change management as root causeForresterMar 23 Shopify launches AI inventory predictor for merchantsShopifyMar 22 McKinsey: companies that automate single processes first see 3x higher ROIMcKinseyMar 21 Enterprise AI budgets drive 53% surge in autonomous "AI workers"Yahoo FinanceMar 20 HubSpot adds AI agent builder to CRM platformHubSpotMar 19 Snowflake and OpenAI sign $200M partnership for agentic AICrescendo AIMar 18
Full intel archive →
Our neural network

Run by operators,
not advisors.

Washington, DC
Bruce
38.9°N 77.0°W

Two decades in government affairs, built business in PR, Comms and Media.

London
Mike
51.5°N 0.1°W

Background in PR and sales, entrepreneur across multiple ventures.

Dubai
Manuel
25.2°N 55.3°E

15 years consulting at C-level across 30+ countries, built businesses in the agroindustrial sector.

Madrid
Alejandro
40.4°N 3.7°W

Background in finance, business owner in fintech and edtech.

Mexico City
Santiago
19.4°N 99.1°W

Early-adopter AI coach with over 50 international clients and business owner across health, tech, and pharma.

Bogotá
Sebastián
4.7°N 74.1°W

Industrial engineer, consultant in agroindustry, business owner in hospitality and real estate.

The window is getting
smaller, fast.

The companies that moved six months ago are already compounding. The ones that move today will catch up. The ones that wait are not falling behind — they're falling off the map.