# 11 Best AI Agent Development Agency Options for 2026

Author: Roald Larsen

Source: https://untaylored.com/post/ai-agent-development-agency

An AI agent demonstration can make a project look ready to buy. The harder questions come when you put it inside your business: which information can it use, what may it change, who checks its work, and who fixes it when something goes wrong?

Choosing an AI agent development agency means finding a partner for that whole process. This guide compares eleven suppliers’ published services and gives you questions to narrow the field around the work you need done.

**Disclosure:** Untaylored publishes this guide and is included in the list. We have a commercial interest in its services. No supplier, including Untaylored, was tested, commissioned or reference-checked for this comparison. The numbering helps you navigate; it is not a performance ranking.

## How this shortlist was selected

The shortlist covers eleven distinct service businesses drawn from the suppliers considered in the earlier edition. It focuses on delivery partners; software platforms that you would need to implement yourself are outside its scope. It is not a survey of the entire market.

The descriptions use first-party service information checked on **19 October 2026**, alongside Untaylored’s current positioning. Published service descriptions show what a supplier says it offers. They do not establish how well it will deliver your project. “Best” here means a potential fit for your requirements, subject to a relevant demonstration, references and a scoped proposal.

## Compare the eleven options

Use the table to find relevant starting points. Several suppliers cover overlapping needs, so the suggested fit is not an exclusive specialism or an advantage proven against the others.

<table><thead><tr><th>Supplier</th><th>Published service focus</th><th>A reason to investigate</th></tr></thead><tbody><tr><td>Untaylored</td><td>AI strategy, transformation and build</td><td>You need to connect a business priority with changes to the work and a practical build.</td></tr><tr><td>Azumo</td><td>Custom agents and flexible engineering engagements</td><td>You need an engineering team or additional capacity for a defined project.</td></tr><tr><td>Itransition</td><td>Agent delivery with business-system integration</td><td>Your project depends on existing customer, operational or data systems.</td></tr><tr><td>Deviniti</td><td>Domain-specific agents and self-hosted deployment</td><td>Deployment control and your organisation’s specialist knowledge matter.</td></tr><tr><td>EffectiveSoft</td><td>Feasibility, development, integration and maintenance</td><td>You need help choosing an approach or maintaining an existing agent system.</td></tr><tr><td>Nerdery</td><td>Agent strategy, workflow integration and ongoing support</td><td>You need to work through how an agent fits into a product or everyday process.</td></tr><tr><td>Intuz</td><td>Consultation, prototype, production and support stages</td><td>You want to evaluate a staged engagement before a wider rollout.</td></tr><tr><td>LeewayHertz</td><td>Custom agents, integration and operational management</td><td>You want to discuss the full lifecycle and the architecture behind it.</td></tr><tr><td>Master of Code</td><td>Conversational, voice, knowledge and workflow agents</td><td>The interaction with customers or staff is central to the task.</td></tr><tr><td>Markovate</td><td>Custom agents across several business functions</td><td>Its published use cases overlap with the workflow you want to improve.</td></tr><tr><td>Azilen Technologies</td><td>Agent engineering, enterprise integration and monitoring</td><td>Your brief includes connected systems and continuing operational oversight.</td></tr></tbody></table>

For every option, confirm the delivery team, relevant experience, scope, support and ownership terms. Public price indications are not comparable quotes: some suppliers publish ranges, but these describe different engagements. The buying guidance below explains what to include in a common proposal request.

## 1\. Untaylored

Untaylored is an AI Transformation Studio covering [AI strategy, AI transformation and AI build](https://untaylored.com/en/services) across business functions. Its proposition connects the choice of business priorities with changes to how people work and the development of useful AI applications.

![A man using a laptop with an AI business transformation screen](https://untaylored.com/media/blog/blog-e4764fb8b7bc17af/1280-c0bcacc91a6d.webp)

Illustrative image of AI-related business work, not a portrait of Untaylored staff.

Consider a conversation if the unresolved question is both what to improve and how to implement it. If you already have a detailed build specification, ask which development responsibilities Untaylored would take on and which would remain with your team.

This is our own service description, not independent proof of delivery outcomes. Ask for a relevant example, the people who would do the work, and a proposal covering acceptance, staff adoption, maintenance and handover. This guide establishes no fixed package, price or delivery period for Untaylored.

## 2\. Azumo

[Azumo’s agent development services](https://azumo.com/artificial-intelligence/ai-services/ai-agent-development-company) include custom agents, conversational applications, enterprise search and systems with multiple agents. It describes dedicated teams, staff augmentation and fixed-scope projects, giving you several engagement models to discuss.

![A man working at a laptop](https://untaylored.com/media/blog/blog-881e4177ba0578d8/1280-7150af9a864e.webp)

Illustrative image of laptop-based work, not a portrait of Azumo staff.

That makes Azumo worth investigating when you have product direction and need engineering capacity. The choice of engagement matters: adding developers to your team leaves a different set of management responsibilities with you than commissioning an agreed deliverable.

Ask who owns architecture decisions, testing and delivery management under the proposed model. If you need the supplier to lead the entire build, make that explicit rather than assuming it is included in an engineering staffing arrangement.

## 3\. Itransition

[Itransition](https://www.itransition.com/ai/development/agent) describes a delivery process spanning objectives and performance measures, a data audit, architecture, development, a pilot, rollout and maintenance. Its agent services include connections to customer relationship management systems, enterprise resource planning software and other systems through APIs, the interfaces software uses to exchange information.

Investigate Itransition when the agent must work within established business systems. Ask how that process would apply to your specific systems and constraints.

Ask the team to trace a proposed task from the initial request to the final system update. Establish who handles inconsistent data, restricted access and an unavailable integration, and what the pilot must demonstrate before rollout. A published delivery process does not establish those project-specific answers.

## 4\. Deviniti

[Deviniti](https://deviniti.com/services/custom-ai-agent-llm-agent-development/) offers custom agents for specific domains, model adaptation, self-hosted deployment and work from early feasibility demonstrations through production. Self-hosted deployment means running the agent in an environment your organisation controls.

It is worth investigating if your project needs specialist business context or control over where the system runs. Self-hosting is a deployment choice, however; it does not by itself settle data protection or compliance questions.

Ask what would run in your environment, which external services remain involved, and who would maintain each component. Before choosing that route, have Deviniti explain the operational responsibilities and costs your team would inherit.

## 5\. EffectiveSoft

[EffectiveSoft](https://www.effectivesoft.com/ai-agent-development.html) includes conventional automation in its feasibility assessment, alongside agent development. Its published services cover custom agents, coordination between agents, integration, evaluation and maintenance, including support for some systems developed by other vendors.

That makes it a candidate if you are still deciding whether an agent is appropriate, or need help with an existing implementation. Treat a maintenance takeover as a separate scoping question: the service description does not guarantee support for your particular system.

For a new build, ask what would make the team recommend ordinary automation instead. For an existing agent, ask what code, documentation and access it needs to assess the work, and which faults or dependencies would fall outside the support agreement.

## 6\. Nerdery

[Nerdery’s agent development service](https://www.nerdery.com/ai-agent-development-services/) describes custom builds, strategy and architecture, workflow integration, testing, human oversight, deployment and monitoring. Its page presents agent development as a service in its own right.

Investigate Nerdery when the agent’s role in a product or working process needs to be designed alongside the software. A useful discussion should cover what the user sees, what the agent does and what happens when a person takes over.

Ask for a walkthrough of that handover using your proposed task. Confirm which design, integration and post-launch monitoring work is included in the engagement, rather than treating the full service catalogue as the scope of your quote.

## 7\. Intuz

[Intuz](https://www.intuz.com/ai-agents-for-business-automation/) presents consultation, prototype, production integration and ongoing optimisation or support as stages of its agent work. It also describes controls around agent actions and visibility into how the system operates.

A staged engagement is worth discussing if you want to test a specific idea before committing to a larger implementation. Ask what the prototype proves and what remains necessary for daily use.

Ask Intuz to define the deliverables and acceptance criteria for each stage, including the option to stop. Its indicative public pricing is not a quote for your workflow; confirm the current scope, timing, operating charges and support separately.

## 8\. LeewayHertz

[LeewayHertz](https://www.leewayhertz.com/ai-agent-development-company/) describes strategy, custom and multi-agent development, integration, testing and continuing operational management. It says technology selection depends on the use case, infrastructure and cost.

![A woman using a laptop beside an AI icon](https://untaylored.com/media/blog/blog-7a5500d75d368ab2/1280-e24904aeb30c.webp)

Illustrative image of AI-assisted work, not a portrait of LeewayHertz staff.

Investigate it if you want one proposal to cover the build and its ongoing operation. Its ZBrain platform is part of its portfolio, but that does not establish that every project requires it.

Ask which components the proposed solution would use, which require licences, and what happens if you change support providers. Request an explanation of what can be transferred and what would need to be replaced. The architecture proposed for your project matters more than assumptions about a platform mentioned on the website.

## 9\. Master of Code

[Master of Code](https://masterofcode.com/ai-agent-development-services) describes conversation design, voice and chat agents, internal knowledge applications and workflow agents. Its process includes feasibility, architecture, a pilot, controls and monitoring, with consulting and engineering offered by the same team.

It is a candidate when the conversation is a substantial part of the work, such as helping a customer explain a request before the system looks up information or prepares an action. Assess both the interaction and the underlying task.

Ask to see what happens when a customer changes their mind, gives incomplete information or needs a member of staff. A fluent conversation alone would not show whether an order, case or record was handled correctly, so include that result in the acceptance criteria.

## 10\. Markovate

[Markovate](https://markovate.com/ai-agents-development-company/) offers agent consulting, systems using one or multiple agents, integrations and human oversight. Its published applications span customer support, document work, supply chains, marketing and finance.

Use that breadth to start a conversation if one of those functions matches your requirement. An industry or function label is only an initial filter: preparing a document and authorising a transaction involve different responsibilities, even when both sit within finance.

Ask for evidence close to your actual task, including its inputs, permitted actions and review process. Have the proposed team explain why the design needs one agent or several, and how you would assess the result against agreed task outcomes.

## 11\. Azilen Technologies

[Azilen Technologies](https://www.azilen.com/ai-agent-development-services/) describes custom and multi-agent development, connections to customer and enterprise systems, evaluation and ongoing monitoring. These services make it a candidate for projects with integration and operating requirements that extend beyond a standalone assistant.

If that matches your brief, focus the discussion on how the system would be observed and maintained after launch. Monitoring needs to give your team something it can act on.

Ask who receives an alert when an agent cannot complete a task, what information they receive and who is responsible for resolving it. Include documentation and knowledge transfer in the proposal so the handover covers the working system as well as its code.

## Decide whether the work needs an agent

Before comparing proposals, ask each supplier why your task needs an agent. A workflow is a sequence of steps for getting work done. If those steps can be defined in advance, ordinary automation, possibly with an AI step to interpret text, may be enough. An agent becomes relevant when the AI needs to choose its next action as it works through the task.

This distinction follows [Anthropic’s guidance on workflows and agents](https://www.anthropic.com/engineering/building-effective-agents), which recommends starting with the simplest adequate approach and considering the added cost, delay and testing requirements of greater autonomy.

Imagine a support team preparing responses to delivery enquiries. Looking up an order number and inserting a known status into a draft reply may follow a fixed sequence. Investigating a less clear request could require choosing which order, message or document to consult next. That is a reason to examine an agent approach, provided the choices cannot be handled adequately by a defined workflow.

In either case, decide separately whether the system may prepare a response, send it, or change an order. An agent does not need permission to do all three to be useful.

If the business priority itself is still unclear, begin with [how to write an AI strategy](https://untaylored.com/post/your-company-needs-an-ai-strategy-here-s-how-to-write-one) before commissioning a build. You need enough clarity to tell a supplier what should improve and why.

## Give shortlisted agencies the same brief

A comparable proposal starts with a comparable request. Describe one task, the people involved and the result you want. Include what happens today: the time spent doing and checking the work, common errors, and the effect on the customer or team. These provide a baseline against which a trial can be judged.

For the hypothetical support example, a useful brief might read:

> Help our support team prepare replies to delivery enquiries using approved order records and correspondence. Staff must review replies before they are sent. The system must flag missing or conflicting information and must not change orders. We want to test whether it reduces preparation effort after checking and corrections are included.

Ask each shortlisted supplier to address the following in its proposal:

<table><thead><tr><th>Decision</th><th>What the proposal should make clear</th></tr></thead><tbody><tr><td>Scope and approach</td><td>The task included, work excluded and reason for using an agent rather than a simpler approach.</td></tr><tr><td>Data and connections</td><td>Information needed, systems accessed, permissions and dependencies that must be resolved before building.</td></tr><tr><td>Human responsibility</td><td>Actions requiring approval, the person reviewing results and the conditions that stop the system or send work to a colleague.</td></tr><tr><td>Acceptance</td><td>Test examples, expected outcomes, agreed thresholds and who decides whether the trial is ready to progress.</td></tr><tr><td>Cost</td><td>Build fees, usage assumptions, hosting, licences, integration charges, maintenance and support.</td></tr><tr><td>Ownership and exit</td><td>Rights to code and configuration, account access, documentation, transferable components and assistance if the engagement ends.</td></tr><tr><td>Adoption and operation</td><td>Staff involvement, training, rollout, monitoring and responsibility for incidents or changes.</td></tr></tbody></table>

You do not need to design the architecture yourself. The supplier should turn this business brief into a proposed approach, explain the trade-offs and identify what it still needs to investigate. Ask to meet the people responsible for that work and request a relevant reference you can check.

### Test the difficult cases as well as the demonstration

Evaluation means checking the system against examples with known expectations. Include representative everyday work, but also missing information, conflicting records, denied access and a failed connection to another system. Agree what the system should do in each situation, including when the correct response is to stop and ask for help.

Run the initial trial within boundaries that prevent unintended customer messages or changes to live records. Review the final output and the actions taken to reach it. For the support example, a plausible reply is insufficient if it refers to the wrong order or takes longer to check than to prepare manually.

Set acceptance thresholds with the people who understand the task. Include quality, review effort, completion time and operating cost, rather than accepting a single headline accuracy figure. A trial should support a decision to proceed, adjust the approach or stop; it does not guarantee wider results.

### Compare the cost of running the workflow

Ask suppliers to show how their estimate changes with usage and which charges sit outside the build fee. Include the time your staff spend reviewing exceptions, maintaining source information and dealing with errors. Specify the same assumptions when requesting quotes, or the totals will represent different projects.

Also establish what happens when a model, connected application or business process changes. Who tests the change, approves it and pays for the work? Separate ongoing support from new development, and have both described in terms you can use after launch.

## Next Steps

Choose a small shortlist around the responsibility you need a partner to take. For additional engineering capacity, examine Azumo’s engagement models. Where deployment control is central, discuss Deviniti’s options. For conversation-led work, investigate Master of Code. If choosing the business priority and changing the workflow are part of the assignment, Untaylored is one option to discuss. The other profiles offer starting points for integration, staged delivery and ongoing operation.

Then give the shortlisted teams the same task and ask how they would prove the approach works. Their explanation, proposed test and allocation of responsibilities should carry more weight in your decision than their place in this list.

If you would like to discuss that first step with Untaylored, [Book a demo](https://untaylored.com/en/contact) to arrange an introductory conversation about the work you want to improve.