NewAgentforce agents & outcome-based AI Pods
Most AI projects stall between a slick demo and a system your team can count on. We close that gap: our engineers plug into your team, build on your stack and stick around until it’s live and paying off.
Trusted by engineering and operations teams at
What we do
Four practices, one standard: measurable results, security built in from the start, and software that keeps running long after launch.
AI-powered delivery
Start wherever your problem is today, whether it’s open-ended and high-stakes, clearly scoped, or a long-running product. You can switch models as you grow.
Delivery model · FDE
Senior AI engineers embedded with your team, shipping solutions on your data and in your environment, and owning the outcome.
Delivery model · AI Pods
AI agents and experienced engineers working as one delivery team, priced on outcomes instead of hours.
Delivery model · App Pods
Dedicated cross-functional pods that own your web, mobile or enterprise product roadmap, with predictable monthly capacity.
Inside an AI Pod
An AI Pod separates output from headcount. That’s how we ship more, faster, with the same accountable team.
How we work
We keep it simple on purpose. Every step ends with something you can see, test and measure.
Weeks 1–2
We map your workflow, data and constraints, and agree on the one metric that defines success.
Week 2
An FDE for open-ended problems, or an AI Pod or App Pod for well-scoped work. Ready in days, not months.
Every sprint
Working software on your real data, with evals and dashboards that show quality, cost and impact.
Ongoing
We expand what works, retire what doesn’t, and run it in production, or hand it off to your team.
Featured work
From an Agentforce agent that keeps compliance records current to an AI hiring platform built from a founder’s prototype, here’s how our work runs in the real world.
An Agentforce agent that triages building compliance emailBright Power’s compliance team was opening and processing jurisdiction emails one by one. We built a Compliance Triage Agent on Salesforce Agentforce that reads and triages each message, matches it to the right property and submission, and updates the compliance record. Anything unclear goes to an analyst. It’s live in production.Read case study 
From a Replit prototype to a serverless AI hiring platform on AWSSmartal.ai mapped out NeuroHire, its AI talent platform, as a working Replit prototype. Our forward deployed engineer turned it into a production app on AWS serverless, then absorbed a major week-three redesign of both the candidate and employer flows without slowing the launch down.Read case study Client voices
What mattered most to us were the guardrails. The compliance agent DJ Computing.IO built on Agentforce only updates records it can match to the right property and submission, and it never creates new ones. Anything it can’t interpret goes straight to an analyst, with the reason and a link to the original email. That’s what made us comfortable putting it into production.
The DJ Computing.IO team is exceptionally easy to work with. They were very resourceful in solving our business challenge through a QR code-based software solution. Since implementation, our production tracking process efficiency has increased by 30%.
Insights
Practical, no-hype guides from the people implementing AI, agents and Agentforce every day.
FAQ
Can’t find what you’re looking for? Book a call and ask us directly.
We help companies put AI to work in production. That means implementing AI solutions and custom AI agents, delivering Salesforce and Agentforce projects, and building web, mobile and enterprise applications. We deliver all of it through AI-powered engagement models: Forward Deployed Engineers, AI Pods and dedicated App Development Pods.
A Forward Deployed Engineer embeds with your team to figure out and prove a solution when the problem is still fuzzy but the stakes are high. An AI Pod pairs AI agents with experienced engineers to deliver against clearly defined outcomes, often with outcome-based pricing. Many of our clients start with an FDE and move the proven work into a pod.
Absolutely. We’re model-agnostic and cloud-agnostic, and we integrate with the systems you already run, including Salesforce, SAP, ServiceNow, Microsoft 365, your custom applications and legacy platforms, on AWS, Azure or Google Cloud.
We can usually schedule a discovery call this week. Most engagements kick off with a one- to two-week discovery, and an FDE or pod can typically start within two weeks of agreeing on scope.
We work with companies across the US, with a focus on New York, New Jersey, Pennsylvania and Texas. Our engineering center is in Coimbatore, India, and we work with clients across different time zones and plan our day to overlap with yours, so you get real-time collaboration on standups, reviews and demos. For discovery and key milestones, we’re happy to meet on-site.
