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AI Sense

AI Agents and Agentic Systems

AI agents that finish the task, not just the sentence.

AI agents that complete real tasks across your business systems, within limits you set.

The problem

Why this matters

Chatbots answer questions. Your team needs work completed: the refund issued, the record updated, the report sent. That takes an agent that can plan, use your systems and know when to stop.

An AI agent is software that can read a request, decide what to do, use your business systems to do it, and check the result. Done well, it takes routine work off your team without taking control away from them.

We design each agent around one clear job, connect it only to the systems it needs, and give it firm limits. Anything outside those limits, or anything it is unsure about, goes to a person with the full context.

How it works

How it works, step by step

  1. 1

    Understand

    The agent reads the request and works out what the customer or colleague actually needs.

  2. 2

    Plan

    It breaks the job into steps and decides which tools and records it needs.

  3. 3

    Act

    It calls your systems through secure connections, within the permissions you set.

  4. 4

    Check and hand over

    It confirms the result, logs every step, and hands anything uncertain to a person.

What we build

AI Agents and Agentic Systems: what is included

  • 01

    Single-task agents that own one workflow from request to resolution

  • 02

    Multi-agent systems where specialists hand work to each other

  • 03

    Secure connections to your CRM, ERP, helpdesk and databases

  • 04

    Human approval steps for sensitive actions

  • 05

    Evaluation suites built from your real cases

  • 06

    Monitoring for quality, speed and cost after launch

Use cases

Where it is used

  • Customer support resolution
  • Sales qualification and follow-up
  • Order and returns handling
  • Internal IT and HR helpdesk
  • Research and report drafting
  • Operations monitoring with alerts

What you receive

  • A working agent in your environment
  • The test set and its results
  • An architecture document
  • A runbook for your team
  • Source code in your repository

Technology

  • LangGraph
  • Function calling
  • Model Context Protocol
  • OpenAI
  • Anthropic
  • Google Gemini
  • Open-source models
  • Python

How the work runs

A clear path with a decision point at every step

  1. 01

    Discover

    A free call to understand your goal, users, data and constraints, followed by a short written summary.

  2. 02

    Assess

    A review of your data, systems and any existing prototype, ending in a plan with scope, price and timeline.

  3. 03

    Pilot

    One workflow built end to end and released to real users.

  4. 04

    Build

    The full system, delivered in two-week cycles with a demo at the end of each.

  5. 05

    Run

    Monitoring, support, upgrades and steady improvement on a monthly plan.

Pricing

Clear scopes. Starting prices you can plan around.

  • Discovery call

    Free

    30 minutes

    A first look at your idea or system and a clear next step.

  • Readiness Assessment

    From $3,000

    1 to 2 weeks

    A review of your data, systems and any prototype, ending in a fixed-price plan. Credited in full if you build with us within 60 days.

  • AI Pilot

    From $8,000

    4 to 6 weeks

    One workflow built end to end and live with real users.

  • AI Production Build

    From $18,000

    10 to 18 weeks

    A complete AI system in production, in your accounts.

  • Software Build

    From $12,000

    6 to 14 weeks

    Web, mobile and backend products, starting with an assessment.

  • Managed Services

    From $2,000 a month

    3-month minimum

    Monitoring, fixes, upgrades and improvement after launch.

  • Prices in US dollars. A fixed quote follows the assessment.
  • AI model and cloud costs are billed to your own accounts, and we estimate them up front.

Questions

What buyers ask us

How is an AI agent different from a chatbot?

A chatbot replies. An agent takes actions in your systems within limits you set.

What stops an agent from making a costly mistake?

Permissions, spending and action limits, approval steps for sensitive actions, and tests run before every release.

Which AI model do you use?

The one that fits your accuracy, speed, cost and privacy needs. We test several on your cases and show you the comparison.

Can an agent work with our existing software?

Yes. We connect through your systems' APIs or, where none exist, through approved integration tools. We start with read-only access and add actions step by step.

How do we know it is working well?

Every release is tested against a set of real cases from your business, and after launch we track completion rate, handovers and errors on a dashboard.

Your AI future starts now.

Tell us what you want to build. The first 30-minute call is free.

Book a Strategy Call