Agentic Engineering · Products / Solutions / Services
Intelligent Enterprise, Engineered.
Agentic engineering creates value in two waves. First it drives down the cost of running the enterprise you have. Then it makes the enterprise itself intelligent — AI infused into every function, business agents doing the work. We engineer both, and our own agentic platform, Sparklets.ai, is live in the market today.
Why now
Every enterprise is going agentic. Few will get it right.
The demand is real and the budgets are moving — but most agent initiatives will die between demo and deployment. The winners will treat agents as an engineering discipline, not a feature flag.
of enterprise applications will embed task-specific AI agents by end of 2026 — up from under 5% in 2025.
— Gartner
in AI spending driven by agentic AI by 2029, growing ~32% a year. Services firms are the segment transformed most.
— IDC
of agentic AI projects will be canceled by 2027 — killed by cost, unclear value, or missing risk controls. Engineering discipline is the difference.
— Gartner
How the value compounds
First efficiency. Then intelligence.
Two waves, one engineering discipline. The first makes today's enterprise cheaper to run; the second makes tomorrow's enterprise intelligent.
Wave 01 · Efficiency
Run the enterprise you have, for less.
Agents take on the repetitive engineering and operational work — software delivery, support, knowledge work, back office — so what you run today runs faster, leaner, and around the clock. This wave pays for itself, and funds the next.
Wave 02 · Intelligence
Make the enterprise itself intelligent.
Then agentic engineering infuses AI into every function. Business agents don't just assist people — they run processes: sensing, deciding, and acting across your operations. The result is an enterprise that is intelligent by design. This is where durable advantage compounds.
Wave one funds wave two. We engineer the whole journey — and operate it in production.
What we do
Three ways to put agents to work
Products
Agentic products we design, ship, and run ourselves.
Sparklets.ai — a personal AI assistant platform with voice agents, multi-channel messaging, and multi-agent orchestration — is our flagship. It's both a product and a proving ground: every client engagement inherits what production teaches us.
Solutions
Pre-engineered agents for the workflows that matter.
Customer operations, revenue operations, knowledge & research, back-office automation. Solution blueprints hardened in production, deployed on your stack, tuned to your data, your guardrails, your economics.
Services
End-to-end agentic engineering, readiness to run-state.
Agent readiness assessment, custom agent engineering, platform & integration work, and managed AgentOps. One accountable partner from the first opportunity map to the thousandth production run.
Proof, not promises
We don't sell decks.
We ship agents.
Sparklets is our own agentic assistant platform — live, in users' hands, doing real work every day. Operating it in production is where our engineering standards come from: reliability, latency, cost, guardrails, and the thousand edge cases no slide deck ever meets.
Gartner counts only ~130 genuine agentic vendors among the thousands claiming the label. The difference between the two is a shipped product. Here's ours.
Explore Sparklets.ai ↗Voice agents that act
Agents that make real phone calls with human oversight — whisper coaching and live bridge built in.
Multi-agent orchestration
Goal-driven planning, tool use, and delegation across specialized agents — running unattended, around the clock.
Every channel, one agent
Web, Telegram, WhatsApp, and voice — one assistant, continuous context, wherever the user already lives.
Trust as architecture
Permissioned memory vault, human-in-the-loop controls, and transparent actions. Privacy isn't a setting; it's the design.
Services
From first assessment to run-state
Agent Readiness & Strategy
Opportunity mapping across your workflows, data and tooling audit, governance blueprint, and a business case you can defend. You leave knowing exactly which agents to build first — and which not to.
Custom Agent Engineering
Design and build of production-grade agents: orchestration, tool use, memory, evaluation harnesses, and human-in-the-loop controls. Engineered for the day after launch, not the demo.
Platform & Integration Engineering
The substrate agents need to be useful: MCP servers and tool surfaces over your systems, retrieval and memory pipelines, identity and permissions — on Google Cloud, Azure, or AWS.
Managed AgentOps
Agents are software that keeps thinking after you ship it. We run yours: monitoring, continuous evaluation, cost and latency management, model upgrades, and incident response.
The Avant Method
Production is the point
Most enterprise agent initiatives stall between demo and deployment. Our whole method is built to cross that gap — quickly, safely, and with evidence at every step.
Assess
2–3 weeksMap the workflows worth automating. Score them on value, risk, and feasibility. Leave with a ranked agent portfolio and governance plan.
Pilot
4–6 weeksOne agent, one workflow, real data, measurable baseline. Evaluation harness from day one, so 'it works' is a number — not a feeling.
Productionize
6–12 weeksHardening for the real world: guardrails, permissions, observability, failure modes, cost envelopes. This is where most agent projects die. It's where we live.
Operate
OngoingManaged AgentOps: continuous evals, drift detection, model upgrades, and a reliability bar your CIO can sign off on.
Ecosystem
Built on the platforms defining the agentic era
Model-agnostic by design. We choose the right model, cloud, and runtime for each job — and we've shipped on all of them.
About Avant Digital
A digital-first firm, rebuilt for the agentic era
Avant Digital Inc began as a digital-first consulting company — managed IT, digital talent, and transformation for midsize enterprises. That heritage taught us how enterprises actually run. Then we did what most consultancies never do: we built and shipped our own product.
Today, everything we learned — operating discipline, engineering rigor, and the hard-won craft of running agents in production — is in service of one mission: helping enterprises put AI agents to work, safely and profitably.
Principles that predate the pivot
Customer First
“We wouldn't exist without the customer.”
Enable Excellence
“Enable ordinary people to do extraordinary things.”
Execution Bias
“Walk the talk without any noise.”
Focused Simplicity
“Focus on what matters; keep it simple and own it.”
Integrity
“Hold yourself to the highest standards.”
Value Creation
“If you don't, someone else will.”
Start here
Bring us a workflow.
We'll bring back an agent.
A 30-minute working session: you describe the workflow, we sketch the agent, the risks, and the fastest honest path to production.