AI frees up the most expensive hours at service firms
Proposal drafting, knowledge management, and project steering tie up your most experienced people's time at B2B service firms. We build agents that target exactly that.
AI levers at B2B service firms
B2B service firms sell expertise by the hour. Every hour a senior employee spends on proposal drafting, research, or internal knowledge management instead of billable work costs margin directly. At the same time, every project and every new hire adds to the effort of making knowledge from past projects findable again. That limits how fast a service firm can grow without diluting delivery quality.
We apply AI where knowledge already exists but is hard to find: in project documentation, proposals, contracts, and internal guidelines. An agent with access to these sources drafts proposals and research that a senior employee reviews instead of writing from scratch. At service firms that build software or platforms for clients themselves, Agentic Engineering also adds development capacity without growing the team proportionally. The result shows up in utilization, proposal turnaround time, and the number of projects a team can carry at once.
Proposal drafting ties up the most expensive hours
- 1
Proposal and knowledge management
An agent with access to past proposals and project documentation drafts new proposals for review
- 2
Customer service
Agents with access to contract and project status answer recurring client questions directly
- 3
Marketing & content
Trade articles, case studies, and proposal materials come from project knowledge instead of starting from zero
- 4
Software development
Agentic Engineering raises delivery capacity for client projects without proportional headcount growth
- 5
Finance & reporting
Automated analysis of time tracking and project margins by client and team
→ Utilization
From proposal draft to client service agent
Proposal drafting from project knowledge
An agent searches past proposals and project documentation and drafts an initial version for review.
Internal knowledge search
Employees find answers from the project archive and guidelines through a question instead of a folder structure.
Technical due diligence as a service offering
Service firms that assess or hand over platforms themselves use structured approaches from our own due diligence practice.
Client service agent
Answers status questions on ongoing projects directly from the project management system.
Agentic Engineering for client projects
Development teams building for clients work with an AI-native toolchain and deliver more without proportionally growing the team.
Searchable knowledge, API access, and one owner
| Area | Requirement | Typical state |
|---|---|---|
| Data | Project documentation, past proposals, and guidelines in a searchable place | Usually exists, but spread across drives, email, and individual project folders |
| Systems | Project management and document storage with API access | Often in place; permission and confidentiality boundaries between client projects need to be mapped cleanly |
| Organization | One owner who decides which knowledge an agent may use | Often unresolved between project leads, management, and individual consultants |
Requirement: Project documentation, past proposals, and guidelines in a searchable place
Typical state: Usually exists, but spread across drives, email, and individual project folders
Requirement: Project management and document storage with API access
Typical state: Often in place; permission and confidentiality boundaries between client projects need to be mapped cleanly
Requirement: One owner who decides which knowledge an agent may use
Typical state: Often unresolved between project leads, management, and individual consultants
Our approach at B2B service firms
We start with the question of what knowledge already exists in the company but isn't reused because it can't be found. That produces the first use case, usually proposal drafting or internal knowledge search, because the effect on utilization shows up fastest there. Confidentiality between client projects is part of the architecture from the start, not an add-on. Where client projects are software development themselves, we also check whether Agentic Engineering directly raises the team's delivery capacity.
| Ausgangslage | Umsetzung | Ergebnis | |
|---|---|---|---|
| Real estate service provider | Real estate service provider without a documented technical picture and without a fixed stack. | Tech DD report, greenfield target architecture, and a concrete tech stack decision. | The company has a documented foundation and a fixed stack to build on. |
| Digital consultancy, Hamburg | Digital consultancy needed external architecture expertise for three parallel client projects. | Tech DD of an e-commerce architecture, greenfield CMS concept, architecture for a credit platform. | The consultancy could continue all three client projects on a reliable technical foundation. |
| B2B services company, owner-led | Sales searched old proposals and personal folders for suitable services. | A proposal agent with approved components, sources and open assumptions. | Sales starts with verifiable drafts and agrees on commitments with project managers. |
| B2B services company, family-run | The leadership team discussed AI ideas without shared selection criteria. | An assessed process list with initial initiatives, owners and next steps. | Leadership can start implementation and explain why other ideas were deferred. |
Ausgangslage
Real estate service provider without a documented technical picture and without a fixed stack.
Umsetzung
Tech DD report, greenfield target architecture, and a concrete tech stack decision.
Ergebnis
The company has a documented foundation and a fixed stack to build on.
Ausgangslage
Digital consultancy needed external architecture expertise for three parallel client projects.
Umsetzung
Tech DD of an e-commerce architecture, greenfield CMS concept, architecture for a credit platform.
Ergebnis
The consultancy could continue all three client projects on a reliable technical foundation.
B2B services company, owner-led
Ausgangslage
Sales searched old proposals and personal folders for suitable services.
Umsetzung
A proposal agent with approved components, sources and open assumptions.
Ergebnis
Sales starts with verifiable drafts and agrees on commitments with project managers.
B2B services company, family-run
Ausgangslage
The leadership team discussed AI ideas without shared selection criteria.
Umsetzung
An assessed process list with initial initiatives, owners and next steps.
Ergebnis
Leadership can start implementation and explain why other ideas were deferred.
Frequently asked questions
A first conversation takes 30 minutes.
We look at your proposal and knowledge processes and tell you where an agent frees up hours.