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Next.js
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Used for
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Business & enterprise
Software development for consulting firms
Knowledge platforms, client-facing diagnostic tools and productised SaaS for management, IT and strategy consultancies.
At a glance
The short version
- What we build
- How it works
- Consultant
- Client team
- Scoring engine
- AI drafting assistant
- 1 more
- Runs on
- Web app
- Admin
- Website
- Who it's for
Consultancies build valuable know-how on every engagement, but much of it ends up in decks nobody finds again. We build software that makes that expertise reusable.
- Cost depends on
- Knowledge base size
- Scoring logic
- Multi-tenant SaaS
How to start
Tell us what you need in your own words. You talk to the developers who would build it and get a written, line-item estimate.
Get a project estimateTurning consulting know-how into software
Management, IT and strategy consultancies sell expertise, yet delivery often repeats the same steps: a diagnostic questionnaire, a benchmark, a maturity score, a roadmap. Captured in software, that method is delivered consistently by junior teams and used by clients between engagements. Firms come to us for internal tools that make past work findable, and for client-facing products that package their method.
Challenges
Why consulting knowledge is hard to reuse
Past work locked in decks
Proposals and frameworks scattered across shared drives and laptops.
Inconsistent delivery
Each team runs the same diagnostic differently, so results don't compare.
Revenue tied to hours
Partners want recurring revenue from IP but have no product to sell.
Client confidentiality
Reusing insight across clients needs strict rules on what can be shared.
Solutions
Solutions for consultancies
Across 2 areas
Search and question-answering over your documents, tickets and product data, with hybrid retrieval, citations and permission-aware results.
Multi-tenant SaaS products with AI at their core, built with tenant isolation, usage metering, model routing, evaluation and subscription billing.
Features that generate catalogue copy, reports, summaries, translations and images, with brand controls and a review step before anything is published.
Custom CRM software that captures leads from every channel, keeps follow-ups on schedule and shows managers a live pipeline.
Automations for repetitive back-office work, with AI steps that read, classify and draft, and approvals where decisions matter.
What consulting firms build with us
Permission-aware knowledge search
AI search over proposals and deliverables that respects client and practice access.
Online assessment tools
Questionnaires with scoring, benchmarks and generated summary reports.
Client dashboards
Engagement progress, KPIs and recommendations in one shared view.
Productised SaaS
Your framework as a subscription product with multi-tenant accounts and billing.
Proposal drafting assistant
First drafts from approved past proposals, always edited by a consultant.
How it works
How a productised diagnostic runs, from invitation to report
- Consultant
Step 1: Client workspace set up
The client organisation gets its own workspace, and respondents are invited by email to questionnaires matched to their role.
- Client team
Step 2: Respondents answer online
Managers answer weighted questions in short sections, save partway and attach evidence, instead of filling in a shared spreadsheet.
- Scoring engine
Step 3: Scores and benchmarks calculated
Your scoring rules turn answers into maturity scores by area and compare them with anonymised benchmarks from earlier clients.
- AI drafting assistant
Step 4: First-draft report written
A summary is drafted from the scores and your approved content, clearly marked as a draft for a consultant to edit.
- Consultant
Step 5: Consultant reviews and signs off
The consultant corrects findings, adds recommendations and approves the report before the client can see it.
- Client dashboard
Step 6: Client tracks progress
Recommendations become tracked actions, and a repeat assessment next quarter shows the client what has improved.
Then it starts again at step 1: Client workspace set up
Platforms
Platforms for consultancies
- Web
Web application
Browser-based applications with logins, roles and workflows, such as customer portals, SaaS products and internal tools.
- Back office
Admin dashboard
Back-office panels for operations, support and finance teams: orders, users, content, reports and permissions.
- Web
Website
Marketing and content websites: fast, search-friendly pages with a CMS your team can update without a developer.
Technology
Stack for consulting products
A web stack for client-facing tools, plus language-model integrations that search your own past work.
Backend
Python
A programming language for AI features, data processing and automation: the engine behind document reading, reports and smart search.
Used for
- AI features
- Document reading
- Reports and analytics
- Task automation
Connects your product to AI language models from several providers, so each task uses a suitable model and you can switch later.
Used for
- AI assistants
- Answers from documents
- Workflow automation
- Ticket triage
Adds AI features such as chat assistants, document summaries and smart search to your product, built on OpenAI models with human review.
Used for
- AI chatbots
- Document summaries
- Smart search
- Drafting replies
Data
PostgreSQL
A reliable database for the records your business runs on: orders, payments, bookings and stock, kept accurate and easy to report on.
Used for
- Orders and customers
- Payments and ledgers
- Stock and inventory
- Bookings
Plain-English glossary
Consulting software terms, explained
- Productised consulting
- Packaging a repeatable part of your method, such as a diagnostic or benchmark, as software clients pay for. It earns revenue between engagements instead of only by the hour.
- Retrieval-augmented generation (RAG)
- An AI set-up that looks up the most relevant sections of your own proposals and reports, then writes an answer from them with the sources cited. Answers stay grounded in your past work rather than the open internet.
- Permission-aware search
- Search that follows the same access rules as your files, so a consultant never sees a document they could not already open. It is essential when past work belongs to different clients.
- Multi-tenant SaaS
- One application serving many client organisations, with every client’s data kept apart from the rest. It is how a single diagnostic product can be sold to dozens of clients without separate installations.
Product preview
Screens from a consulting product
Illustrative screens with sample scores and questions.
Client assessment. Client managers answer the diagnostic online in short sections, so responses are consistent across teams and easy to compare. 
Consultant workspace. Consultants see scores by area next to anonymised benchmarks, and move straight to the recommendations that matter most. 
Internal knowledge search. Consultants search past proposals in plain language and only get answers drawn from files they are already allowed to open.
Illustrative preview
Sample screens: names, prices and figures are examples, not client data.
Cost drivers
Cost drivers for consulting software
Knowledge base size
Large archives of mixed PDFs, decks and spreadsheets need more ingestion and access-control work.
Scoring logic
Weighted, multi-section assessments take longer to specify and test.
Multi-tenant SaaS
Selling to many clients adds tenant isolation, subscriptions and onboarding.
Estimates are written from your scope, with the effort and assumptions behind each line item.
How pricing worksServices
Services for this industry
The design and engineering services our in-house team combines on projects in this sector.
SaaS development
Multi-tenant SaaS products with subscription billing, team roles, onboarding and usage analytics, from first MVP to paying customers.
Web application development
Browser-based products, customer portals, dashboards and internal tools, built on clean data models with secure roles and integrations.
AI app development
AI features and AI-first apps built on model APIs, retrieval over your own data, workflow automation or custom ML, with evaluation and human review.
Website development
Fast, SEO-ready company and marketing websites with a CMS your team can edit, designed and built by our in-house team.
FAQ
Frequently asked questions
Can AI search our past proposals without exposing client data to other teams?
Yes, if permissions are designed in from the start. We build retrieval-augmented search that indexes documents along with their access rules, so consultants only get answers drawn from files they could already open. Client names can be masked for cross-practice use. We use LLM providers whose API terms exclude your data from training, or open models hosted in your cloud when policy requires it.
How do we turn a consulting framework into a SaaS product?
Start with the part clients value between engagements, usually a diagnostic, benchmark or tracker. We model your questions, scoring and recommendations as configurable logic, build a web app with client accounts and reports, and add subscription billing when you are ready to charge. A pilot with a few existing clients typically comes first, so you can refine the scoring before selling widely.
Who owns the IP when you build our assessment tool?
You do. Your methodology, scoring rules and content remain your intellectual property, and the contract assigns the code we write to you on payment. We sign an NDA before you share frameworks in detail. Any open-source libraries are listed with their licences so your legal team can review them, and nothing from your framework is reused in other client work.
Next step
Want to productise your method?
Share your framework or diagnostic, and we will sketch how it could work as software.