AI-Harness

AI-Harness is an AI-powered human-agent collaboration platform, with the core value proposition “From months to minutes.”

[Johnny Midnight ⚡️ @its_The_Dr]

The truth!

[John LeFevre @JohnLeFevre]

This single tweet cost California hundreds of billions of dollars in taxes, revenue, and jobs:

[Elon Musk @elonmusk]

Thank Heaven for the First Amendment in America!

[Elon Musk @elonmusk]

Time to build major base on the Moon!

[AI-Harness @AI_harness]

Humans + AI Agents = One System of Work 🔥

No more silos. No more context switching.

Just one unified workflow where humans and AI agents execute together.

Governed. Visible. Accountable.

The future of work is collaborative intelligence.

What’s your take?

[AI-Harness @AI_harness]

Are your AI workflows running blind?

Stop guessing. Get real-time visibility into every step -AI + humans working side-by-side with full accountability.

📊 Cycle time, throughput, cost attribution, workflow health - all in one executive dashboard.

AI work should be measurable, reviewable, and accountable.

Book a demo 👉 https://t.co/VxPkOE3mkv

#AI #EnterpriseAI #AIagents #WorkflowAutomation

[TFTC @TFTC21]

Ken Griffin went home on a Friday "fairly depressed" after watching AI agents at Citadel do work that used to take teams of PhDs in finance months to complete. Done in days.

His words: "These are not mid-tier white collar jobs. These are extraordinarily high skilled jobs being automated by agentic AI."

This is the head of one of the most successful hedge funds in history saying the people he pays seven figures to analyze markets and structure deals are being replaced by software that works in hours instead of months. Not theoretically. In his own office. Right now.

The Coatue deck we covered earlier this week called agents "the biggest unlock" in AI. Griffin just confirmed it from the buy side. The shift from copilots to agents is not a future event. It is already happening at the highest levels of finance.

[AI-Harness @AI_harness]

AI work should be measurable, reviewable, and accountable.

AI-Harness brings full visibility, governance & accountability to human + AI workflows.

Real outcomes. Real transparency. No black boxes.

#AI #EnterpriseAI #AIGovernance #ResponsibleAI #AIOps

[AI-Harness @AI_harness]

𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗻𝗲𝗲𝗱 𝗷𝗼𝗯 𝗱𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻𝘀

AI agents should not be treated as vague “do everything” assistants.

In enterprise workflows, role clarity matters.

- What is the agent responsible for?
- What systems can it access?
- When does it escalate?
- Who reviews its work?
- How is success measured?

AI-Harness helps teams define role-based AI agents with clear responsibilities, permissions, review paths, and accountability inside governed workflows.

Because the more important the work, the clearer the role needs to be.

#EnterpriseAI #AIGovernance #AIAgents #AIWorkflows #HumanInTheLoop #AIWorkforce #WorkflowAutomation #OperationalAI #AIAdoption #EnterpriseAutomation #ResponsibleAI #RiskManagement #AICompliance #AIOperations #OperationalExcellence #AIAnalytics #OutcomeTelemetry #FutureOfWork #HumanAI #AIExecution #AIHarness

[AI-Harness @AI_harness]

𝗔𝗜-𝗛𝗮𝗿𝗻𝗲𝘀𝘀 𝗵𝗲𝗹𝗽𝘀 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗺𝗼𝘃𝗲 𝗔𝗜 𝗶𝗻𝘁𝗼 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀

Most organizations do not jump from AI experimentation to enterprise-wide execution overnight. They move through stages: First, individual prompting > Then, promising pilots > Then, workflow integration > Then, governed execution.

The challenge is that many teams get stuck between pilots and operations.

AI-Harness helps enterprises move AI into real workflows where work can be assigned, reviewed, governed, and measured across a unified human + AI workforce.

AI maturity is not just about better models.

It is about building the operating model around them.

#EnterpriseAI #AIGovernance #AIAgents #AIWorkflows #HumanInTheLoop #AIWorkforce #WorkflowAutomation #OperationalAI #AIAdoption #EnterpriseAutomation #ResponsibleAI #RiskManagement #AICompliance #AIOperations #OperationalExcellence #AIAnalytics #OutcomeTelemetry #FutureOfWork #HumanAI #AIExecution #AIHarness

[AI-Harness @AI_harness]

🚀 Unmanaged AI is chaos.

You don’t need another chatbot. You need an accountable teammate.

Enter AI-Harness - the unified command center to:

• Manage the full agent lifecycle
• Orchestrate human + AI workflows
• Track, audit & govern every action

Scale operations with guardrails.

Discover AI-Harness today 👇
https://t.co/QeGhpvN9JZ

#AIHarness #AgenticAI #GovernedAI

[AI-Harness @AI_harness]

Scan the code to Follow our WhatsApp channel and stay updated with the latest updates and upgrades #AIHarness

[AI-Harness @AI_harness]

𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐫𝐞𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐛𝐞𝐭𝐭𝐞𝐫, 𝐭𝐡𝐞𝐲’𝐫𝐞 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚

https://t.co/EkNIAI67b3

[Milk Road AI @MilkRoadAI]

The most important AI story today isn't a new model but rather it's two massive bets on who controls how AI gets used (Save this).

OpenAI and Anthropic have both concluded, simultaneously, that the bottleneck in AI is no longer capability, it's deployment.

The models are good enough but the problem is that most companies can't actually install them inside their businesses.

They don't have the teams, data pipelines, security architecture or operating discipline to take a frontier model and make it affect revenue.

Both companies have now placed an identical bet on how to close it, use private equity as their distribution engine.

OpenAI finalized its joint venture today officially called The Deployment Company backed by 19 investors including TPG, Brookfield, Bain Capital, SoftBank, and Dragoneer.

The PE partners collectively touch over 2,000 portfolio companies and clients, turning AI enterprise selling from a one company at a time pitch into a routed distribution network across thousands of businesses simultaneously.

Hours later, Anthropic announced its own version, a $1.5 billion joint venture with Blackstone, Hellman & Friedman, Goldman Sachs, and General Atlantic.

But Anthropic's structure is different in one critical way rather than a financing vehicle with an AI partner, this is a standalone operating company with Anthropic engineers embedded directly inside it.

The execution philosophies reveal two different theories of the market.

OpenAI's is a volume play, pull as many PE portfolios as possible into a captive distribution channel as fast as possible while Anthropic's is a credibility play, a smaller number of deeply prestigious financial institutions whose imprimatur sells Claude to the rest of the market, with embedded engineers who can continuously evolve implementations as the model itself changes every few weeks.

The implications for traditional consulting are severe.

McKinsey, Deloitte, Accenture, and BCG have collectively built $300 billion in annual revenues selling exactly this service.

What OpenAI and Anthropic are building is that same function without the middleman margin, without the slow sales cycle, and with the actual model developers sitting in the room and no consulting firm appears on either cap table.

The next AI race isn't about benchmarks but it's about who industrializes deployment fastest and embeds so deeply into real business workflows that switching becomes unthinkable.

[AI-Harness @AI_harness]

Tired of AI pilots that never scale? 🚀

AI-Harness embeds accountable AI agents directly into your real workflows : with full governance, audit trails, and traceability built in.

Human-led. AI-powered. One team.

Try it free → https://t.co/VxPkOE3mkv

#AI #EnterpriseAI #AIWorkforce #FutureOfWork

[Aaron Levie @levie]

Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today.

The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do.

First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents.

Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do.

Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes.

Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design.

All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it.

This is a huge opportunity right now whether you’re doing this internally or as an external business provider.

[AI-Harness @AI_harness]

Most companies don't have an AI problem.

They have an execution problem.

Every team we talk to has tried AI. Some prompts here, a chatbot there. But growth is still stuck behind the same bottlenecks, the same headcount limits, the same slow follow-ups.

So we're doing something different.

We're taking 5 companies and building AI directly into how their business runs. Not a workshop. Not a deck. Not a pilot that dies in month two.

Real workflows. Real outputs. Real revenue impact.

We sit inside your operations, map what's actually breaking, and wire AI into the gaps - until your team can run it without us.

The only thing it costs you is time and commitment.

If your team is ready to stop experimenting and start executing - tell us about your business.

👉 https://t.co/VxPkOE3mkv

[AI-Harness @AI_harness]

Your team's potential is being bottlenecked by slow handoffs and coordination chaos.

AI Harness fixes that - built for Defence, Healthcare, Real Estate & Energy teams.

Your people lead. AI executes.

Book a free AI Decision Clarity Session:
https://t.co/KHCj3v6V50

#AIHarness #FutureOfWork #AIForEnterprise #OperationalExcellence

[AI-Harness @AI_harness]

E-Cells must bridge the execution gap. AI-Harness empowers lean startup teams by automating BD and ops, turning 3-person crews into 15-person powerhouses. Boost your cohort’s "investor-grade" readiness through strategic AI alliances today.

#IncubationCentre #Ecell #StartUps #Founders #AIharness

https://t.co/TKfdzhfe39

[AI-Harness @AI_harness]

Your team should be growing the business - not stuck in the grind.

AI-Harness puts secure AI agents to work 24/7 so your people can focus on what matters.

Turning months into minutes. ⏰⚡

https://t.co/KHCj3v6V50

#AI #AIAgents #Automation #FutureOfWork #BusinessGrowth #AIHarness