FOR ENGINEERING LEADERS · USA · EU · POLAND

Turn AI ambition into
production software.

Most companies know where they want to use AI. Few know how to deliver it securely and at scale. DevTactics provides the engineering expertise to build AI-powered products, modernize existing platforms, and embed AI across your business.

Learn_More See_Engagement_Options
AGENT_SWARM :: dt-orchestrate --mode=auto

[ ILLUSTRATIVE_DEMO — sample agent run ]

$ dt-orchestrate --goal "ship production feature"

[SYSTEM] Spinning agent swarm...

[OK] Architecture agent: microservices layout validated

[OK] Code agent: 14 files generated, tests included

[INFO] Review agent: flagged 2 edge cases

>> Human-in-the-loop checkpoint reached...

>> APPROVED: Deploying to staging

SELECTED_CUSTOMERS

True Loyal
TestRail
Assembla
MyGet
Travis CI
Ranorex
Qubole
PreEmptive
APILayer
Integrate.io
StatusHub
UXPin
DeTaso
True Loyal
TestRail
Assembla
MyGet
Travis CI
Ranorex
Qubole
PreEmptive
APILayer
Integrate.io
StatusHub
UXPin
DeTaso

Proof

What clients say

"What Devtactics are selling isn't technology service's, you can buy that anywhere…. its peace of mind."
David Dobbins, CTO at Import.io
"With Devtactics, Deadlines are deadlines- theres no grey area. If they say they'll get it done, it gets done."
Donal Tobin, CEO at Integrate.io
< 2 wks
Time to first commit
1 – 4
Embedded Pod size
GLOBAL
Based in Poland
Paired
Engineers + agents
Agnostic
Model-agnostic
Human
Code-review gates

FOR ENGINEERING LEADERS

We don't bolt AI on.
We build with it.

Most teams treat AI as a chatbot. We treat it as infrastructure. Our engineers design agentic workflows, autonomous decision loops, and retrieval-augmented systems that are observable, tested, and governed.

  • > Agentic development: multi-step tasks delegated to autonomous systems with human checkpoints.
  • > AI adoption: we help teams move from experimentation to production-grade AI, safely.
  • > Engineering discipline: evaluations, observability, cost controls, and compliance built in.
Learn_More
AGENT_TELEMETRY

ORCHESTRATOR

Conductor

Coordinates the five specialists, routes tasks, resolves conflicts, and keeps the system aligned with the product goal.

  • Task routing
  • Conflict resolution
  • Goal alignment

AUTONOMOUS_AGENT_TOPOLOGY // 5 SPECIALISTS + ORCHESTRATOR

Capabilities

AI-first delivery. Human judgment.

We combine autonomous systems with senior engineers in four practice areas. Each engagement is scoped to outcomes, not just hours.

AI

AI-Powered Automation

We embed models as components: document understanding, workflow orchestration, and decision support inside your existing systems.

  • Intelligent document extraction
  • Agentic workflow orchestration
  • Decision-support APIs
  • Human-in-the-loop checkpoints
Models as components
SD

Custom Software

Full-stack teams or embedded specialists for brand-new products, enterprise integration, and complex legacy modernization.

  • Product MVPs & brand-new builds
  • Enterprise system integration
  • Platform modernization
  • AI-native product features
Ship quality first
DO

DevOps & Platform

Continuous delivery, observability, and platform engineering that removes deployment friction and operational blind spots.

  • CI/CD pipelines & GitOps
  • Platform engineering
  • Observability stacks
  • Cost-aware infrastructure
Flow, not firefighting
QA

Testing & Quality

QA embedded from sprint one. Strategy, automation, and product analysis that catches issues before users do.

  • Test strategy & planning
  • Automation frameworks
  • QA staffing & augmentation
  • Release readiness gates
Quality by design
Explore_All_Capabilities

Methodology

How we work

A three-stage loop of discovery, delivery, and operation. Each stage ships working software and measurable feedback.

01

Discover

Map the problem

We map systems, constraints, stakeholders, and definition of done. AI-assisted discovery accelerates analysis without replacing judgment.

  • Scope & risk map
  • Architecture options
  • Definition of done

Stage output

  • A prioritised backlog and a delivery plan
  • Known risks and explicit assumptions
  • Clear decision points for the build phase
02

Build

Delivery

Working software in your hands every sprint. Engineers and agents pair on code, tests, and documentation, with human review at every gate.

  • Shippable increments
  • Automated tests & docs
  • Human review checkpoints

Stage output

  • Deployed, tested features every sprint
  • Living architecture and runbook drafts
  • Traceable decisions and review records
03

Operate

Run with observability

Monitoring, evaluation, and continuous improvement. You keep ownership; we keep systems healthy and costs predictable.

  • Observability & alerting
  • Model & cost evaluation
  • Continuous refinement

Stage output

  • Metrics, alerts, and incident runbooks
  • Model evaluation and cost dashboards
  • A backlog of safe, scoped improvements
Learn_More

// ENGAGEMENT_MODELS

Three ways to work with us

Pick the shape that fits the problem. Same engineers either way.

01 · DISCOVERY SPRINT

Get the brief right

Short, fixed-scope engagement. You walk away with scope, risks, architecture options, and a delivery plan — whether or not we build it next.

See_sprint_scope ↗

02 · EMBEDDED POD

Senior engineers in your team

One-to-four experienced engineers working your processes, on your tools, shipping alongside your team. Stop when the work is done — no minimum commitment beyond the next sprint, and full handover when you want it.

See_pod_setup ↗

03 · BUILD & OPERATE

Ship it and keep it healthy

End-to-end delivery with ongoing observability and a backlog of scoped improvements. You keep ownership; we keep the system honest.

See_operate_scope ↗

// HOW_WE_WORK_WITH_AI

AI adoption, done right

We help teams move from AI experiments to production systems. That means evaluation, oversight, data boundaries, and cost control from day one.

Production-grade AI, not theatre

Honest answers on model limitations, data handling, and AI risk. Built for procurement teams who need evidence, not hype.

Start_AI_Adoption

EU hours, US overlap

Based in Poland (UTC+1/+2). We work EU hours by default and hold a daily overlap window with US teams — no follow-the-sun handoff, no overnight ticket queues, decisions land in one working day, not three.

Human-in-the-loop

Mandatory review gates for high-impact decisions.

Cost Controls

Token budgets, caching, and usage observability.

Evaluations

Continuous evaluation against real production tasks.

SEE_WHO_WE_WORK_WITH

Get the brief right. Then build.

Most AI and software projects fail because the brief was wrong. We spend the first stretch getting scope, constraints, and definition of done clear — then we deliver.

Start_With_A_Conversation