Custom AI ยท Professional Services

Custom AI for Professional Services & Recruiting

Candidate matching engines, consulting AI tools and HR tech MVPs, built around your data and the way your experts work. You own the code and the models.

Overview

Custom AI for professional services, built on what your firm knows

Your firm's advantage is what it knows: years of proposals, reports, models, placements and client notes. Most of it sits in SharePoint, shared drives and the ATS, and only the people who wrote it can find it. Custom AI for professional services turns that archive into tools your team uses every day. A consultant asks a question and gets the most relevant past projects with summaries and links. A recruiter opens a new role and sees the best-matched candidates already in the database.

We build AI recruiting software and consulting AI tools from the model up. That includes candidate matching engines that compare CVs and job specs by skills and experience rather than exact keywords, research assistants that answer from your methodology and past deliverables, and internal copilots that draft reports in your house style. We also handle HR tech MVP development for founders who need a working product, with backend, web app and model, to put in front of pilot customers and investors.

Our closest proven work is Vikk AI, a legal assistant built with LLMs, RAG and multi-agent orchestration. It covers all 50 US states and 30+ languages, has served 120,000+ users, analyzes documents and hands off to lawyers, and its MVP took six weeks. For Medsuccour we trained a deep-learning model that reports on CT scans in seconds, and we apply the same evaluation discipline to matching and ranking models. You keep 100% of the IP, and we can host in your own cloud to meet client confidentiality terms. Tools that influence hiring are built with explainable scores and human review, so they can support bias audits.

Use cases

Custom AI Development use cases in Professional Services

01

AI candidate matching engine

Ranks candidates in your ATS against a new role by skills, experience and location, with the reasons shown.

02

Knowledge assistant over past projects

Searches proposals, reports and research and answers with sources, so teams reuse what the firm already knows.

03

Consulting AI tools

Custom tools that run your diagnostic frameworks, benchmark data or questionnaires and draft the first analysis.

04

Report and deliverable drafting

Generates report sections in your structure and tone from analysis notes, for a consultant to edit.

05

HR tech MVP development

Takes a recruiting or HR product idea to a working MVP for pilots and fundraising.

06

AI features in your own platform

Adds search, summarization, matching or chat to a client portal or internal system you already run.

How it works

How it works

  1. 01Define the job and the dataWe agree what the tool should do, who uses it and which documents, records or ATS data feed it.
  2. 02Prepare and index your knowledgeFiles are cleaned, tagged with their existing permissions and indexed, so users only retrieve what they're allowed to see.
  3. 03Build the model layerRAG, fine-tuned language models, embeddings for matching or multi-agent workflows, depending on the task.
  4. 04Wrap it in a productA web app, a Microsoft Teams or Slack assistant, or an API inside your existing platform.
  5. 05Evaluate and monitorAnswers and rankings are tested against your experts' judgments, then tracked in production for accuracy and drift.
Capabilities

Key features

Permission-aware retrieval

Respects client walls and folder permissions, so confidential engagement files stay with the right team.

Semantic candidate matching

Embeddings compare skills and experience by meaning, so a financial controller can match a head of finance role when it should.

Answers with sources

Every answer links back to the documents it came from, so experts can verify before relying on it.

Explainable rankings

Scores show which requirements a candidate meets, which supports recruiter review and bias testing.

Full-stack delivery

Models, backend, interface and integrations from one team, not a model with no product around it.

100% IP ownership

You own the code, prompts, indexes and any trained models.

Integrations

Works with your Professional Services stack

Using something else? If it has an API, a database or a webhook, we can connect to it.

Outcomes

Benefits for Professional Services teams

Firm knowledge gets reused

Teams start from your best past work instead of rewriting it.

Better matches from your own database

Candidates you already know get surfaced before you pay for new adverts.

A product you can sell

HR tech founders get an MVP built to production standards, ready for paying pilots.

Differentiation clients notice

Faster, better-sourced answers and deliverables set your firm apart from competitors using generic tools.

Our work

Related Work

FAQ

Custom AI Development for Professional Services: FAQs

What is custom AI for professional services?

It's software built around your firm's own data and methods, such as a matching engine on your candidate database or an assistant that answers from your past reports. Unlike a generic tool, it knows your work and fits your process.

Can you build an AI candidate matching engine?

Yes. We build matching that compares candidates and roles by skills and experience rather than exact keywords, connects to your ATS and shows why each candidate ranks where they do.

Can AI search our past proposals and reports safely?

Yes. We index your files with their existing permissions, so people only see results from documents they can already open, and we can host everything in your own cloud.

Do you build HR tech MVPs for startups?

Yes. We build the model, backend and app together so founders can run pilots and raise on a working product. Our Vikk AI MVP took six weeks.

Will the AI share one client's information with another?

No. Permission-aware retrieval and separate indexes keep client data within the teams allowed to see it, and we configure AI providers so your data is not used to train their models.

Who owns the software and models?

You do. You keep 100% of the intellectual property, including code, prompts, indexes and trained models.

How long does custom AI development for a firm take?

It depends on scope. A focused knowledge assistant or matching prototype can take a few weeks, while Vikk AI's fuller MVP took six. We set milestones after discovery.

Explore

More AI services for Professional Services & Recruitment

Put your firm's knowledge to work.

Tell us what your experts keep searching for or rebuilding. We'll tell you honestly what a custom tool can do and how long it takes.